|
|
Venues (Conferences, Journals, ...)
|
|
GrowBag graphs for keyword ? (Num. hits/coverage)
Group by:
The graphs summarize 1937 occurrences of 1059 keywords
|
|
|
Results
Found 6441 publication records. Showing 6441 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
84 | Serge Ayer, Harpreet S. Sawhney |
Layered Representation of Motion Video Using Robust Maximum-Likelihood Estimation of Mixture Models and MDL Encoding. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICCV ![In: Procedings of the Fifth International Conference on Computer Vision (ICCV 95), Massachusetts Institute of Technology, Cambridge, Massachusetts, USA, June 20-23, 1995, pp. 777-, 1995, IEEE Computer Society, 0-8186-7042-8. The full citation details ...](Pics/full.jpeg) |
1995 |
DBLP DOI BibTeX RDF |
motion video, robust maximum-likelihood estimation, spatial support, motion video sequences, dynamic image understanding, motion estimation, image sequences, encoding, encoding, mixture models, maximum likelihood estimation, maximum likelihood estimation, minimum description length, layered representation |
77 | Jesse Bennett, Alireza Khotanzad |
A Maximum Likelihood Estimation Method for Multispectral Autoregressive Image Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIP (2) ![In: Proceedings 1997 International Conference on Image Processing, ICIP '97, Santa Barbara, California, USA, October 26-29, 1997, pp. 839-842, 1997, IEEE Computer Society, 0-8186-8183-7. The full citation details ...](Pics/full.jpeg) |
1997 |
DBLP DOI BibTeX RDF |
multispectral autoregressive image models, random field image models, multispectral simultaneous autoregressive model, natural texture samples, image segmentation, experiments, parameter estimation, maximum likelihood estimation, maximum likelihood estimation, color images, Gaussian distribution |
70 | G. D. Rayner, Helen L. MacGillivray |
Numerical maximum likelihood estimation for the g-and-k and generalized g-and-h distributions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 12(1), pp. 57-75, 2002. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
maximum likelihood estimation (MLE), quantile distributions, g-and-k distribution, generalized g-and-h distribution, numerical maximum likelihood estimation (NMLE) |
68 | Timothy J. Schulz |
A Fast Algorithm for Maximum-Likelihood Imaging with Coherent Speckle Measurements. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIP (1) ![In: Proceedings 1997 International Conference on Image Processing, ICIP '97, Santa Barbara, California, USA, October 26-29, 1997, pp. 679-682, 1997, IEEE Computer Society, 0-8186-8183-7. The full citation details ...](Pics/full.jpeg) |
1997 |
DBLP DOI BibTeX RDF |
maximum-likelihood imaging, coherent speckle measurements, space alternating expectation-maximization, SAGE method, coherent-speckle imaging, 2D spectrum estimation, algorithm convergence, expectation-maximization based algorithm, penalized maximum-likelihood estimation, Gaussian random process, speckle, sensors array |
60 | Benny Chor, Tamir Tuller |
Finding a maximum likelihood tree is hard. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. ACM ![In: J. ACM 53(5), pp. 722-744, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
approximate vertex cover, tree reconstruction, Maximum likelihood, maximum parsimony, intractability |
57 | Rómer Rosales, Stan Sclaroff |
Specialized Mappings and the Estimation of Human Body Pose from a Single Image. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Workshop on Human Motion ![In: Workshop on Human Motion, HUMO 2000, Austin, Texas, USA, December 7-8, 2000, Proceedings, pp. 19-24, 2000, IEEE Computer Society, 0-7695-0939-8. The full citation details ...](Pics/full.jpeg) |
2000 |
DBLP DOI BibTeX RDF |
human body pose esimation, articulated body pose, monocular images, Specialized Mappings Architecture, nonlinear supervised learning architecture, forward mapping functions, feedback matching function, computer vision, learning (artificial intelligence), probability, image recognition, probabilistic model, maximum likelihood estimation, maximum likelihood estimation, expectation maximization |
57 | Zhenyu Zhou, Richard M. Leahy |
Approximate maximum likelihood hyperparameter estimation for Gibbs priors. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIP ![In: Proceedings 1995 International Conference on Image Processing, Washington, DC, USA, October 23-26, 1995, pp. 284-287, 1995, IEEE Computer Society, 0-8186-7310-9. The full citation details ...](Pics/full.jpeg) |
1995 |
DBLP DOI BibTeX RDF |
approximate maximum likelihood hyperparameter estimation, Gibbs priors, MAP image estimate, mean field approximation technique, multidimensional Gibbs distributions, one dimensional densities, Gibbs-Bogoliubov-Feynman bound, optimization, image reconstruction, image reconstruction, image restoration, maximum likelihood estimation |
56 | JiaDong Zhang, Kun Yue, Weiyi Liu |
Learning and Inferences of the Bayesian Network with Maximum Likelihood Parameters. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ADMA ![In: Advanced Data Mining and Applications, 4th International Conference, ADMA 2008, Chengdu, China, October 8-10, 2008. Proceedings, pp. 391-399, 2008, Springer, 978-3-540-88191-9. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Maximum likelihood hypothesis, Sigmoid, Support vector machine, Bayesian network, Inference |
55 | Alexandre Renaux, Philippe Forster, Eric Boyer, Pascal Larzabal |
Unconditional Maximum Likelihood Performance at Finite Number of Samples and High Signal-to-Noise Ratio. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Signal Process. ![In: IEEE Trans. Signal Process. 55(5-2), pp. 2358-2364, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
55 | Nicu Sebe, Michael S. Lew |
Maximum Likelihood Stereo Matching. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICPR ![In: 15th International Conference on Pattern Recognition, ICPR'00, Barcelona, Spain, September 3-8, 2000., pp. 1900-1903, 2000, IEEE Computer Society, 0-7695-0750-6. The full citation details ...](Pics/full.jpeg) |
2000 |
DBLP DOI BibTeX RDF |
|
54 | Doron Blatt, Alfred O. Hero III |
Asymptotic Characterization of Log-Likelihood Maximization Based Algorithms and Applications. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EMMCVPR ![In: Energy Minimization Methods in Computer Vision and Pattern Recognition, 4th International Workshop, EMMCVPR 2003, Lisbon, Portugal, July 7-9, 2003, Proceedings, pp. 164-179, 2003, Springer, 3-540-40498-8. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
clustering, sensor networks, data fusion, mixture models, Maximum likelihood |
53 | Francesca Mariani, Graziella Pacelli, Francesco Zirilli |
Maximum likelihood estimation of the Heston stochastic volatility model using asset and option prices: an application of nonlinear filtering theory. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Optim. Lett. ![In: Optim. Lett. 2(2), pp. 177-222, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
53 | Alexandros Stamatakis, Thomas Ludwig 0002, Harald Meier |
A fast program for maximum likelihood-based inference of large phylogenetic trees. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SAC ![In: Proceedings of the 2004 ACM Symposium on Applied Computing (SAC), Nicosia, Cyprus, March 14-17, 2004, pp. 197-201, 2004, ACM, 1-58113-812-1. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
parallel & distributed computing, maximum likelihood, phylogenetic inference |
53 | Serkan Hosten, Amit Khetan, Bernd Sturmfels |
Solving the Likelihood Equations. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Found. Comput. Math. ![In: Found. Comput. Math. 5(4), pp. 389-407, 2005. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
Maximum likelihood degree, Syzygies, Maximum likelihood, Phylogenetic trees |
51 | Zoltan Kato, Josiane Zerubia, Marc Berthod |
Unsupervised Parallel Image Classificiation Using a Hierarchical Markovian Model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICCV ![In: Procedings of the Fifth International Conference on Computer Vision (ICCV 95), Massachusetts Institute of Technology, Cambridge, Massachusetts, USA, June 20-23, 1995, pp. 169-174, 1995, IEEE Computer Society, 0-8186-7042-8. The full citation details ...](Pics/full.jpeg) |
1995 |
DBLP DOI BibTeX RDF |
unsupervised parallel image classification, hierarchical Markovian model, segmentation problem, hidden label field parameters, observable image, iterative conditional estimation, estimation-maximization algorithm, tentative labeling, Connection Machine CM200, comparative tests, noisy synthetic images, noisy real images, computer vision, image segmentation, parallel processing, Markov random fields, Markov processes, iterative methods, image classification, remote sensing, remote sensing, maximum likelihood estimation, maximum likelihood estimate, random processes, hierarchical systems, maximum a posteriori estimate, model parameters |
49 | Adam M. Johansen, Arnaud Doucet, Manuel Davy |
Particle methods for maximum likelihood estimation in latent variable models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 18(1), pp. 47-57, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Simulated annealing, Markov chain Monte Carlo, Maximum likelihood, Sequential Monte Carlo, Latent variable models |
49 | Ard Oerlemans, Bart Thomee |
Interactive Feedback for Video Tracking Using a Hybrid Maximum Likelihood Similarity Measure. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICCV-HCI ![In: Human-Computer Interaction, IEEE International Workshop, HCI 2007, Rio de Janeiro, Brazil, October 20, 2007, Proceedings, pp. 79-87, 2007, Springer, 978-3-540-75772-6. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
hybrid maximum likelihood similarity, relevance feedback, video analysis, object tracking, motion detection, Visual similarity |
49 | Victor K. Y. Chan, W. Eric Wong |
Optimizing and Simplifying Software Metric Models Constructed Using Maximum Likelihood Methods. ![Search on Bibsonomy](Pics/bibsonomy.png) |
COMPSAC (1) ![In: 29th Annual International Computer Software and Applications Conference, COMPSAC 2005, Edinburgh, Scotland, UK, July 25-28, 2005. Volume 1, pp. 65-70, 2005, IEEE Computer Society, 0-7695-2413-3. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
modeling, software metrics, maximum likelihood method |
49 | Murray Aitkin, Roberto Rocci |
A general maximum likelihood analysis of measurement error in generalized linear models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 12(2), pp. 163-174, 2002. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
random effects GLM, nonparametric maximum likelihood, EM algorithm, mixture model, measurement error, Gaussian quadrature |
49 | Craig A. Stewart, David Hart, Donald K. Berry, Gary J. Olsen, Eric A. Wernert, William Fischer 0002 |
Parallel implementation and performance of fastDNAml: a program for maximum likelihood phylogenetic inference. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SC ![In: Proceedings of the 2001 ACM/IEEE conference on Supercomputing, Denver, CO, USA, November 10-16, 2001, CD-ROM, pp. 20, 2001, ACM, 1-58113-293-X. The full citation details ...](Pics/full.jpeg) |
2001 |
DBLP DOI BibTeX RDF |
scalability, bioinformatics, maximum likelihood, parallel applications, phylogenetics |
49 | U. A. Al-Suwailem, J. Keller |
Multichannel Image Identification and Restoration Using Continuous Spatial Domain Modeling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIP (2) ![In: Proceedings 1997 International Conference on Image Processing, ICIP '97, Santa Barbara, California, USA, October 26-29, 1997, pp. 466-469, 1997, IEEE Computer Society, 0-8186-8183-7. The full citation details ...](Pics/full.jpeg) |
1997 |
DBLP DOI BibTeX RDF |
multichannel image identification, continuous spatial domain modeling, cross-spectral components, spatial components, noisy color images, uniform linear motion, out-of-focus blur, performance, image processing, maximum likelihood estimation, maximum likelihood estimation, restoration, autoregressive model, blur |
49 | Claude Thibeault |
A novel probabilistic approach for IC diagnosis based on differential quiescent current signatures. ![Search on Bibsonomy](Pics/bibsonomy.png) |
VTS ![In: 15th IEEE VLSI Test Symposium (VTS'97), April 27-May 1, 1997, Monterey, California, USA, pp. 80-87, 1997, IEEE Computer Society, 0-8186-7810-0. The full citation details ...](Pics/full.jpeg) |
1997 |
DBLP DOI BibTeX RDF |
IC diagnosis, probabilistic differential quiescent current signature, noise source, embedded logic, robustness, maximum likelihood estimation, maximum likelihood estimation, IDDQ testing, subthreshold leakage current |
49 | Lance R. Williams, David W. Jacobs |
Stochastic Completion Fields: A Neural Model of Illusory Contour Shape and Salience. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICCV ![In: Procedings of the Fifth International Conference on Computer Vision (ICCV 95), Massachusetts Institute of Technology, Cambridge, Massachusetts, USA, June 20-23, 1995, pp. 408-415, 1995, IEEE Computer Society, 0-8186-7042-8. The full citation details ...](Pics/full.jpeg) |
1995 |
DBLP DOI BibTeX RDF |
stochastic completion fields, illusory contour shape, boundary completion shape, mammalian visual cortex, boundary fragments, vector-field convolutions, maximum likelihood paths, curves of least energy, illusory contours, illusory contour stimuli, computational geometry, probability, edge detection, image recognition, random walk, computer model, lattice, neural nets, maximum likelihood estimation, probability distribution, neural model, image plane |
49 | Baback Moghaddam, Alex Pentland |
Probabilistic Visual Learning for Object Detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICCV ![In: Procedings of the Fifth International Conference on Computer Vision (ICCV 95), Massachusetts Institute of Technology, Cambridge, Massachusetts, USA, June 20-23, 1995, pp. 786-793, 1995, IEEE Computer Society, 0-8186-7042-8. The full citation details ...](Pics/full.jpeg) |
1995 |
DBLP DOI BibTeX RDF |
probabilistic visual learning, unsupervised visual learning, eigenspace decomposition, multivariate Gaussian, automatic object recognition, nonrigid objects, object recognition, unsupervised learning, object detection, maximum likelihood estimation, maximum-likelihood estimation, visual search, density estimation, target detection, high-dimensional spaces, human faces, probability densities, training data |
49 | Fernand S. Cohen, Georgia Georgiou |
Detecting and estimating structure regularity of soft tissue organs from ultrasound images. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIP ![In: Proceedings 1995 International Conference on Image Processing, Washington, DC, USA, October 23-26, 1995, pp. 488-491, 1995, IEEE Computer Society, 0-8186-7310-9. The full citation details ...](Pics/full.jpeg) |
1995 |
DBLP DOI BibTeX RDF |
ultrasonic scattering, structure regularity estimation, structure regularity detection, soft tissue organs, scatterer spacing, regularly-spaced resolvable coherent scatterers, tissue structure classification, cirrhotic liver, normal liver, diffuse liver disease, Wold decomposition, RF field, coherent components, diffused components, minimum mean square error estimates, parameter estimation, maximum likelihood estimation, maximum likelihood estimates, medical image processing, ultrasound images, liver, biomedical ultrasonics |
49 | Chieh-Min Fan, Nader M. Namazi |
Estimation of image motion parameters using the EM algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIP ![In: Proceedings 1995 International Conference on Image Processing, Washington, DC, USA, October 23-26, 1995, pp. 195-198, 1995, IEEE Computer Society, 0-8186-7310-9. The full citation details ...](Pics/full.jpeg) |
1995 |
DBLP DOI BibTeX RDF |
image motion parameters, spatiotemporal interpolation, iterative scheme, expectation maximization technique, image motion coefficient estimation, noisy measurements, motion estimation, data compression, sampling, filtering, noise, iterative methods, EM algorithm, maximum likelihood estimation, maximum-likelihood estimate, noisy images, image motion estimation |
49 | Brian C. Tom, Aggelos K. Katsaggelos |
Reconstruction of a high-resolution image by simultaneous registration, restoration, and interpolation of low-resolution images. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIP ![In: Proceedings 1995 International Conference on Image Processing, Washington, DC, USA, October 23-26, 1995, pp. 539-542, 1995, IEEE Computer Society, 0-8186-7310-9. The full citation details ...](Pics/full.jpeg) |
1995 |
DBLP DOI BibTeX RDF |
sub-pixel shifts, maximum likelihood problem, discrete frequency domain, noise variances, power spectra, interpolation, interpolation, optimisation, estimation, image registration, image restoration, registration, maximum likelihood estimation, matrix algebra, expectation-maximization, restoration, image resolution, frequency-domain analysis, matrices, high-resolution image, low-resolution images |
49 | Kristine E. Matthews, Nader M. Namazi |
Simultaneous motion parameter estimation and image segmentation using the EM algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIP ![In: Proceedings 1995 International Conference on Image Processing, Washington, DC, USA, October 23-26, 1995, pp. 542-545, 1995, IEEE Computer Society, 0-8186-7310-9. The full citation details ...](Pics/full.jpeg) |
1995 |
DBLP DOI BibTeX RDF |
motion parameter estimation, uncovered background, stationary pixels, moving pixels, intensity difference, image frames, region identifier, image segmentation, image segmentation, motion estimation, image sequences, image sequence, EM algorithm, maximum likelihood estimation, maximum-likelihood estimation, expectation-maximization |
49 | Timothy J. Schulz |
Coherent array imaging with sparse arrays. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIP ![In: Proceedings 1995 International Conference on Image Processing, Washington, DC, USA, October 23-26, 1995, pp. 133-135, 1995, IEEE Computer Society, 0-8186-7310-9. The full citation details ...](Pics/full.jpeg) |
1995 |
DBLP DOI BibTeX RDF |
antenna phased arrays, sparse arrays, coherent array imaging, phased-array imaging systems, Fourier inversion, coherent imaging system, image processing, maximum likelihood estimation, maximum-likelihood estimation, missing data, incomplete data, array signal processing, aperture |
49 | Benjamin W. Wah, Arthur Ieumwananonthachai, Shu Yao, Ting Yu |
Statistical generalization: theory and applications. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICCD ![In: 1995 International Conference on Computer Design (ICCD '95), VLSI in Computers and Processors, October 2-4, 1995, Austin, TX, USA, Proceedings, pp. 4-10, 1995, IEEE Computer Society, 0-8186-7165-3. The full citation details ...](Pics/full.jpeg) |
1995 |
DBLP DOI BibTeX RDF |
statistical generalization, multiple statistical distributions, probability of win, problem solving, maximum likelihood estimation, maximum likelihood estimate, Bayes methods, heuristic programming, interval analysis, heuristic methods, Bayesian analysis, blind equalization, branch-and-bound search |
49 | Shyh-shiaw Kuo, Oscar E. Agazzi |
Keyword Spotting in Poorly Printed Documents using Pseudo 2-D Hidden Markov Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 16(8), pp. 842-848, 1994. The full citation details ...](Pics/full.jpeg) |
1994 |
DBLP DOI BibTeX RDF |
poorly printed documents, pseudo 2-D hidden Markov models, robust machine recognition, maximum likelihood decision, testing, dynamic programming, dynamic programming, hidden Markov models, optical character recognition, statistical models, statistical models, document image processing, maximum likelihood estimation, decision theory, training sets, elastic matching, recognition accuracy, keyword spotting |
49 | Scott A. Vander Wiel, Lawrence G. Votta |
Assessing Software Designs Using Capture-Recapture Methods. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Software Eng. ![In: IEEE Trans. Software Eng. 19(11), pp. 1045-1054, 1993. The full citation details ...](Pics/full.jpeg) |
1993 |
DBLP DOI BibTeX RDF |
capture-recapture methods, wildlife population estimation, broken assumptions, jackknife estimators, software quality, software reliability, statistical analysis, software designs, maximum likelihood estimators, maximum likelihood estimation, Monte Carlo simulation, software quality assurance, statistical estimation, design reviews |
49 | Maqbool Patel, Fernand S. Cohen |
Local Surface Shape Estimation of 3-D Textured Surfaces using Gaussian Markov Random Fields and Stereo Windows. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 15(10), pp. 1091-1098, 1993. The full citation details ...](Pics/full.jpeg) |
1993 |
DBLP DOI BibTeX RDF |
local surface shape estimation, 3-D textured surfaces, stereo windows, single 2-D image, perceived systematic deformations, stationary Gaussian Markov random field, surface shape parameter estimation, maximum likelihood estimation problem, Markov processes, maximum likelihood estimation, stereo image processing, developable surfaces, MLE, planar surfaces, camera geometry, probability distribution function, Gaussian Markov random fields |
48 | Venkatesan Guruswami, Alexander Vardy |
Maximum-likelihood decoding of Reed-Solomon codes is NP-hard. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Inf. Theory ![In: IEEE Trans. Inf. Theory 51(7), pp. 2249-2256, 2005. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
48 | Venkatesan Guruswami, Alexander Vardy |
Maximum-likelihood decoding of Reed-Solomon codes is NP-hard. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SODA ![In: Proceedings of the Sixteenth Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2005, Vancouver, British Columbia, Canada, January 23-25, 2005, pp. 470-478, 2005, SIAM, 0-89871-585-7. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP BibTeX RDF |
|
47 | Erik Lindström |
Estimating parameters in diffusion processes using an approximate maximum likelihood approach. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Ann. Oper. Res. ![In: Ann. Oper. Res. 151(1), pp. 269-288, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Approximate likelihood function, Durham-Gallant estimator, Crank-Nicholson scheme, Cox-Ingersoll-Ross model, Non-linear CKLS model |
47 | Eugène-Patrice Ndong Nguéma, Guillaume Saint-Pierre |
Model-based classification with dissimilarities: a maximum likelihood approach. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Pattern Anal. Appl. ![In: Pattern Anal. Appl. 11(3-4), pp. 281-298, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Dissimilarity data, Model-based classifier, Intrinsic data dimension, Success classification rate, Maximum likelihood estimate, Multidimensional scaling |
47 | Gregory C. Sharp, Sang Wook Lee, David K. Wehe |
Maximum-Likelihood Registration of Range Images with Missing Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 30(1), pp. 120-130, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Registration, Maximum Likelihood, Range data, Pixel classification |
47 | Leon Poladian |
A GA for maximum likelihood phylogenetic inference using neighbour-joining as a genotype to phenotype mapping. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GECCO ![In: Genetic and Evolutionary Computation Conference, GECCO 2005, Proceedings, Washington DC, USA, June 25-29, 2005, pp. 415-422, 2005, ACM, 1-59593-010-8. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
genotype to phenotype mapping, neighbour joining, genetic algorithms, maximum likelihood, phylogenetic inference |
45 | Desta Tadesse, R. Iris Bahar, Joel Grodstein |
Fast Measurement of the "Non-Deterministic Zone" in Microprocessor Debug Using Maximum Likelihood Estimation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
VTS ![In: 26th IEEE VLSI Test Symposium (VTS 2008), April 27 - May 1, 2008, San Diego, California, USA, pp. 339-344, 2008, IEEE Computer Society, 978-0-7695-3123-6. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Microprocessor Diagnosis, Pass/Fail Region, Maximum Likelihood Estimation, Silicon Debug |
43 | Wolfgang Jank |
Efficient simulated maximum likelihood with an application to online retailing. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 16(2), pp. 111-124, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
Laplace approximation, Halton sequence, Geostatistical model, Importance sampling, Spatial data, Low-discrepancy sequence, Quasi-Monte Carlo |
43 | Yi Sun |
Local Maximum Likelihood Multiuser Detection for CDMA Communications. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ITCC ![In: 2001 International Symposium on Information Technology (ITCC 2001), 2-4 April 2001, Las Vegas, NV, USA, pp. 307-311, 2001, IEEE Computer Society, 0-7695-1062-0. The full citation details ...](Pics/full.jpeg) |
2001 |
DBLP DOI BibTeX RDF |
|
42 | Dahae Chong, Junhwan Kim, Seung Goo Kang, Seokho Yoon |
Novel UWB synchronization schemes based on the maximum likelihood criterion. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IWCMC ![In: Proceedings of the 6th International Wireless Communications and Mobile Computing Conference, IWCMC 2010, Caen, France, June 28 - July 2, 2010, pp. 601-605, 2010, ACM, 978-1-4503-0062-9. The full citation details ...](Pics/full.jpeg) |
2010 |
DBLP DOI BibTeX RDF |
suboptimal, optimal, synchronization, maximum likelihood, UWB |
42 | Michifumi Yoshioka, Sigeru Omatu 0001 |
Camera Calibration Method Based on Maximum Likelihood Estimation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IWANN (2) ![In: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living, 10th International Work-Conference on Artificial Neural Networks, IWANN 2009 Workshops, Salamanca, Spain, June 10-12, 2009. Proceedings, Part II, pp. 616-620, 2009, Springer, 978-3-642-02480-1. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Camera calibration, Maximum likelihood estimation, 3D measurements |
42 | Patrick Loiseau, Paulo Gonçalves 0001, Stéphane Girard, Florence Forbes, Pascale Vicat-Blanc Primet |
Maximum likelihood estimation of the flow size distribution tail index from sampled packet data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SIGMETRICS/Performance ![In: Proceedings of the Eleventh International Joint Conference on Measurement and Modeling of Computer Systems, SIGMETRICS/Performance 2009, Seattle, WA, USA, June 15-19, 2009, pp. 263-274, 2009, ACM, 978-1-60558-511-6. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
maximum likelihood estimation, network monitoring, traffic measurement, heavy-tailed distribution, expectation-maximization algorithm, packet sampling |
42 | José M. Bioucas-Dias, Vladimir Katkovnik, Jaakko Astola, Karen O. Egiazarian |
Multi-frequency Phase Unwrapping from Noisy Data: Adaptive Local Maximum Likelihood Approach. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SCIA ![In: Image Analysis, 16th Scandinavian Conference, SCIA 2009, Oslo, Norway, June 15-18, 2009. Proceedings, pp. 310-320, 2009, Springer, 978-3-642-02229-6. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Interferometric imaging, phase unwrapping, local maximum-likelihood, diversity, adaptive filtering |
42 | Mohamad M. Tawfick, Hazem M. Abbas, Hussein I. Shahein |
Evolutionary maximum likelihood image compression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GECCO ![In: Genetic and Evolutionary Computation Conference, GECCO 2009, Proceedings, Montreal, Québec, Canada, July 8-12, 2009, pp. 1937-1938, 2009, ACM, 978-1-60558-325-9. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
clustering, evolutionary algorithms, image compression, maximum likelihood |
42 | Koohyar Minoo, Truong Q. Nguyen |
Maximum Likelihood Rate Estimation: With Applications in Image and Video Compression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
DCC ![In: 2008 Data Compression Conference (DCC 2008), 25-27 March 2008, Snowbird, UT, USA, pp. 535, 2008, IEEE Computer Society, 978-0-7695-3121-2. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
video coding, Image coding, Maximum Likelihood, Rate-Distortion optimization, Rate estimation |
42 | Marija Mitrovic, Bosiljka Tadic |
Search of Weighted Subgraphs on Complex Networks with Maximum Likelihood Methods. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICCS (2) ![In: Computational Science - ICCS 2008, 8th International Conference, Kraków, Poland, June 23-25, 2008, Proceedings, Part II, pp. 551-558, 2008, Springer, 978-3-540-69386-4. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
modular networks, subgraphs, maximum likelihood method |
42 | Michael Ott 0001, Jaroslaw Zola, Alexandros Stamatakis, Srinivas Aluru |
Large-scale maximum likelihood-based phylogenetic analysis on the IBM BlueGene/L. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SC ![In: Proceedings of the ACM/IEEE Conference on High Performance Networking and Computing, SC 2007, November 10-16, 2007, Reno, Nevada, USA, pp. 4, 2007, ACM Press, 978-1-59593-764-3. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
IBM BlueGene/L, RAxML, maximum likelihood, phylogenetic inference |
42 | Ismail Ben Ayed, Amar Mitiche, Ziad Belhadj |
Polarimetric Image Segmentation via Maximum-Likelihood Approximation and Efficient Multiphase Level-Sets. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 28(9), pp. 1493-1500, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
Polarimetric images, complex Wishart distribution, complex Gaussian distribution, level set active contour segmentation, maximum-likelihood approximation |
42 | Gergely Korodi, Ioan Tabus |
An efficient normalized maximum likelihood algorithm for DNA sequence compression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ACM Trans. Inf. Syst. ![In: ACM Trans. Inf. Syst. 23(1), pp. 3-34, 2005. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
Approximate sequence matching, DNA compression, normalized maximum likelihood model |
42 | Gad Kimmel, Ron Shamir |
Maximum likelihood resolution of multi-block genotypes. ![Search on Bibsonomy](Pics/bibsonomy.png) |
RECOMB ![In: Proceedings of the Eighth Annual International Conference on Computational Molecular Biology, 2004, San Diego, California, USA, March 27-31, 2004, pp. 2-9, 2004, ACM, 1-58113-755-9. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
disease association, genotype phasing, haplotype resolution, algorithm, maximum likelihood, SNP, haplotype, haplotyping, genotype, haplotype block |
42 | Clark F. Olson |
Maximum-Likelihood Image Matching. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 24(6), pp. 853-857, 2002. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
tracking, Image matching, maximum-likelihood estimation, stereo |
42 | Joaquín Míguez, Luis Castedo |
Maximum Likelihood Unsupervised Source Separation in Gaussian Noise. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. VLSI Signal Process. ![In: J. VLSI Signal Process. 31(1), pp. 7-18, 2002. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
multiple-input multiple-output channel estimation, EM algorithm, Monte Carlo methods, maximum likelihood, blind source separation |
42 | Bogdan Matei, Peter Meer |
Reduction of Bias in Maximum Likelihood Ellipse Fitting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICPR ![In: 15th International Conference on Pattern Recognition, ICPR'00, Barcelona, Spain, September 3-8, 2000., pp. 3802-3806, 2000, IEEE Computer Society, 0-7695-0750-6. The full citation details ...](Pics/full.jpeg) |
2000 |
DBLP DOI BibTeX RDF |
errors-in-variables models, heteroscedastic noise, maximum likelihood estimation, bootstrap, confidence regions |
42 | Hoda El-Sayed, Marc Salit, John Travis, Judith Ellen Devaney, William L. George |
Parallel Maximum-Likelihood Inversion for Estimating Wavenumber-Ordered Spectra in Emission Spectroscopy. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IPDPS ![In: Proceedings of the 14th International Parallel & Distributed Processing Symposium (IPDPS'00), Cancun, Mexico, May 1-5, 2000, pp. 71-76, 2000, IEEE Computer Society. The full citation details ...](Pics/full.jpeg) |
2000 |
DBLP DOI BibTeX RDF |
emission spectroscopy, maximum-likelihood inversion, DParLib, performance evaluation, parallel processing, MPI, cosine transform |
42 | S. K. Acharya |
On normal approximation for maximum likelihood estimation from single server queues. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Queueing Syst. Theory Appl. ![In: Queueing Syst. Theory Appl. 31(3-4), pp. 207-216, 1999. The full citation details ...](Pics/full.jpeg) |
1999 |
DBLP DOI BibTeX RDF |
asymptotic inference, asymptotic normality, maximum likelihood estimator, single server queues, exponential families, GI/G/1 queue |
42 | Jesse Bennett, Alireza Khotanzad |
Maximum Likelihood Estimation Methods for Multispectral Random Field Image Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 21(6), pp. 537-543, 1999. The full citation details ...](Pics/full.jpeg) |
1999 |
DBLP DOI BibTeX RDF |
multispectral image models, color texture models, multispectral random fields, multispectral autoregressive models, multispectral Markov models, Maximum likelihood estimation |
42 | A. N. Rajagopalan 0001, Subhasis Chaudhuri |
Performance Analysis of Maximum Likelihood Estimator for Recovery of Depth from Defocused Images and Optimal Selection of Camera Parameters. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Int. J. Comput. Vis. ![In: Int. J. Comput. Vis. 30(3), pp. 175-190, 1998. The full citation details ...](Pics/full.jpeg) |
1998 |
DBLP DOI BibTeX RDF |
Gaussian blur, blur identification, auto-regressive process, optimality criterion, log-likelihood function, maximum likelihood estimator, depth from defocus, Cramer-Rao bound |
42 | Antonio Colmenarez, Thomas S. Huang |
Maximum Likelihood Face Detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
FG ![In: 2nd International Conference on Automatic Face and Gesture Recognition (FG '96), October 14-16, 1996, Killington, Vermont, USA, pp. 307-311, 1996, IEEE Computer Society, 0-8186-7713-9. The full citation details ...](Pics/full.jpeg) |
1996 |
DBLP DOI BibTeX RDF |
Face Detection, Maximum likelihood, Maximum Entropy |
42 | Jeff Leuschner, Shahram Yousefi |
On the ML decoding of quasi-orthogonal space-time block codes via sphere decoding and exhaustive search. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IWCMC ![In: Proceedings of the International Conference on Wireless Communications and Mobile Computing, IWCMC 2007, Honolulu, Hawaii, USA, August 12-16, 2007, pp. 343-348, 2007, ACM, 978-1-59593-695-0. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
maximum-likelihood decoding, maximum-likelihood metric, quasi-orthogonal space-time block codes, sphere decoding |
42 | Youngjo Lee 0001, John A. Nelder |
Fitting via alternative random-effect models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 16(1), pp. 69-75, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
Correlated random effects, Restricted-maximum likelihood, Hierarchical generalized linear models, Maximum-likelihood estimator, Random effect models |
41 | Daniel K. C. So, Roger S. Cheng |
Layered maximum likelihood detection for MIMO systems in frequency selective fading channels. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Wirel. Commun. ![In: IEEE Trans. Wirel. Commun. 5(4), pp. 752-762, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
41 | Xiaojuan Feng, Christopher K. I. Williams, Stephen N. Felderhof |
Combining Belief Networks and Neural Networks for Scene Segmentation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 24(4), pp. 467-483, 2002. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
tree-structured belief network (TSBN), scaled-likelihood method, conditional maximum-likelihood training, neural network, Markov random field (MRF), Gaussian mixture model, hierarchical modeling, expectation-maximization (EM) |
41 | Hlaing Minn, Poramate Tarasak |
Improved maximum likelihood frequency offset estimation based on likelihood metric design. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Signal Process. ![In: IEEE Trans. Signal Process. 54(6-1), pp. 2076-2086, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
40 | Dirk Ormoneit, Volker Tresp |
Averaging, maximum penalized likelihood and Bayesian estimation for improving Gaussian mixture probability density estimates. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Neural Networks ![In: IEEE Trans. Neural Networks 9(4), pp. 639-650, 1998. The full citation details ...](Pics/full.jpeg) |
1998 |
DBLP DOI BibTeX RDF |
|
38 | O. S. Sands, Frederick D. Garber |
Pattern Representations and Syntactic Classification of Radar Measurements of Commercial Aircraft. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 12(2), pp. 204-211, 1990. The full citation details ...](Pics/full.jpeg) |
1990 |
DBLP DOI BibTeX RDF |
radar measurements, commercial aircraft, radar signal identification, symbolic pattern representations, maximum-likelihood classifier, symbol strings, language-theoretic classifiers, radar measurement, artificial intelligence, computerised pattern recognition, computerised pattern recognition, syntactic pattern recognition, decision algorithm |
38 | Bruno Cernuschi-Frías, David B. Cooper, Yi-Ping Hung, Peter N. Belhumeur |
Toward a Model-Based Bayesian Theory for Estimating and Recognizing Parameterized 3-D Objects Using Two or More Images Taken from Different Positions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 11(10), pp. 1028-1052, 1989. The full citation details ...](Pics/full.jpeg) |
1989 |
DBLP DOI BibTeX RDF |
3D object surface recognition, pattern recognition, pattern recognition, picturing processing, picture processing, parameter estimation, parameter estimation, statistical analysis, maximum likelihood estimation, Bayes methods, parametric modeling, statistical estimation, Bayesian theory |
37 | Eran Halperin, Elad Hazan |
HAPLOFREQ - Estimating Haplotype Frequencies E.ciently. ![Search on Bibsonomy](Pics/bibsonomy.png) |
RECOMB ![In: Research in Computational Molecular Biology, 9th Annual International Conference, RECOMB 2005, Cambridge, MA, USA, May 14-18, 2005, Proceedings, pp. 553-568, 2005, Springer, 3-540-25866-3. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
36 | Mathew M. Noel, Parag P. Joshi, Thomas C. Jannett |
Improved Maximum Likelihood Estimation of Target Position in Wireless Sensor Networks using Particle Swarm Optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ITNG ![In: Third International Conference on Information Technology: New Generations (ITNG 2006), 10-12 April 2006, Las Vegas, Nevada, USA, pp. 274-279, 2006, IEEE Computer Society, 0-7695-2497-4. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
36 | Jianhua Zhao, Philip L. H. Yu, Qibao Jiang |
ML estimation for factor analysis: EM or non-EM? ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 18(2), pp. 109-123, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Maximum likelihood estimation, Factor analysis, EM, CM, ECME |
36 | Tobias Glasmachers, Christian Igel |
Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 32(8), pp. 1522-1528, 2010. The full citation details ...](Pics/full.jpeg) |
2010 |
DBLP DOI BibTeX RDF |
Support vector machines, regularization, model selection, maximum likelihood |
36 | Hazem M. Abbas |
Mixed-coded evolutionary algorithm for Gaussian mixture maximum likelihood clustering with model selection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GECCO ![In: Genetic and Evolutionary Computation Conference, GECCO 2010, Proceedings, Portland, Oregon, USA, July 7-11, 2010, pp. 825-826, 2010, ACM, 978-1-4503-0072-8. The full citation details ...](Pics/full.jpeg) |
2010 |
DBLP DOI BibTeX RDF |
clustering, evolutionary algorithms, maximum likelihood |
36 | Peter J. Green, Desmond P. Taylor |
FPGA Implementation of a Real Time Maximum Likelihood Space-Time Decoder on a MIMO Software Radio Test Platform. ![Search on Bibsonomy](Pics/bibsonomy.png) |
DELTA ![In: Fifth IEEE International Symposium on Electronic Design, Test & Applications, DELTA 2010, Ho Chi Minh City, Vietnam, January 13-15, 2010, pp. 139-143, 2010, IEEE Computer Society, 978-0-7695-3978-2. The full citation details ...](Pics/full.jpeg) |
2010 |
DBLP DOI BibTeX RDF |
Alamouti, maximum likelihood decoder, software radio test platform, FPGA, MIMO, real-time implementation |
36 | Mikalai Kisialiou, Zhi-Quan Luo |
Maximum Likelihood Detection via Semidefinite Programming. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Encyclopedia of Optimization ![In: Encyclopedia of Optimization, Second Edition, pp. 2020-2029, 2009, Springer, 978-0-387-74758-3. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Multiple-input multiple-output systems, Semidefinite relaxation, Multiuser detection, Maximum-likelihood detection |
36 | Hiroyuki Okamura, Tadashi Dohi |
Faster Maximum Likelihood Estimation Algorithms for Markovian Arrival Processes. ![Search on Bibsonomy](Pics/bibsonomy.png) |
QEST ![In: QEST 2009, Sixth International Conference on the Quantitative Evaluation of Systems, Budapest, Hungary, 13-16 September 2009, pp. 73-82, 2009, IEEE Computer Society, 978-0-7695-3808-2. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
continuous hidden Markov model, EM algorithm, Maximum likelihood estimation, Markovian arrival process |
36 | Benny Chor, Amit Khetan, Sagi Snir |
Maximum likelihood on four taxa phylogenetic trees: analytic solutions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
RECOMB ![In: Proceedings of the Sventh Annual International Conference on Computational Biology, RECOMB 2003, Berlin, Germany, April 10-13, 2003, pp. 76-83, 2003, ACM, 1-58113-635-8. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
2-state model, Hadamard conjugation, molecular clock, symbolic algebra, constrained optimization, maximum likelihood, phylogenetic trees, saturation, Groebner bases |
36 | Hiroyuki Okamura, Yasuhiro Watanabe, Tadashi Dohi |
An Iterative Scheme for Maximum Likelihood Estimation in Software Reliability Modeling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISSRE ![In: 14th International Symposium on Software Reliability Engineering (ISSRE 2003), 17-20 November 2003, Denver, CO, USA, pp. 246-256, 2003, IEEE Computer Society, 0-7695-2007-3. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
EM algorithm, maximum likelihood estimation, software reliability model, non-homogeneous Poisson process |
36 | Ross T. Whitaker, Jens Gregor |
A Maximum-Likelihood Surface Estimator for Dense Range Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 24(10), pp. 1372-1387, 2002. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
3D range data, ladar, parameter estimation, calibration, surface reconstruction, registration, maximum-likelihood, surface fitting, Bayesian estimation, optimal estimation, Surface estimation |
36 | José Allen Lima, Agostinho C. Rosa |
Maximum likelihood based classification for the microstructure of human sleep. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SAC ![In: Proceedings of the 1998 ACM symposium on Applied Computing, SAC'98, Atlanta, GA, USA, February 27 - March 1, 1998, pp. 60-64, 1998, ACM, 0-89791-969-6. The full citation details ...](Pics/full.jpeg) |
1998 |
DBLP DOI BibTeX RDF |
EEG model, sleep EEG, maximum likelihood estimator, CAPS, microstructure |
36 | Madhu Sudan 0001 |
Maximum Likelihood Decoding of Reed Solomon Codes. ![Search on Bibsonomy](Pics/bibsonomy.png) |
FOCS ![In: 37th Annual Symposium on Foundations of Computer Science, FOCS '96, Burlington, Vermont, USA, 14-16 October, 1996, pp. 164-172, 1996, IEEE Computer Society, 0-8186-7594-2. The full citation details ...](Pics/full.jpeg) |
1996 |
DBLP DOI BibTeX RDF |
bit level soft decision decoding algorithm, low complexity code, coset properties, maximum likelihood decoding algorithm, soft output estimates, AWGN channel, BPSK signalling, Reed-Solomon codes, Reed Solomon codes, Galois field, SNR |
36 | Patrick Bouthemy |
A Maximum Likelihood Framework for Determining Moving Edges. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 11(5), pp. 499-511, 1989. The full citation details ...](Pics/full.jpeg) |
1989 |
DBLP DOI BibTeX RDF |
maximum likelihood framework, moving edges, 3-D spatiotemporal space, occlusion contours, displacement magnitude, information extraction, picture processing, picture processing, hypothesis testing, surface patch, spatiotemporal segmentation |
35 | Nir Friedman, Matan Ninio, Itsik Pe'er, Tal Pupko |
A structural EM algorithm for phylogenetic inference. ![Search on Bibsonomy](Pics/bibsonomy.png) |
RECOMB ![In: Proceedings of the Fifth Annual International Conference on Computational Biology, RECOMB 2001, Montréal, Québec, Canada, April 22-25, 2001, pp. 132-140, 2001, ACM, 1-58113-353-7. The full citation details ...](Pics/full.jpeg) |
2001 |
DBLP DOI BibTeX RDF |
|
35 | Amos O. Olagunju |
In search of heuristics for keyword detection (abstract only): my source of discontent. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ACM Conference on Computer Science ![In: Proceedings of the 15th ACM Annual Conference on Computer Science, St. Louis, Missouri, USA, February 16-19, 1987, pp. 387, 1987, ACM, 0-89791-218-7. The full citation details ...](Pics/full.jpeg) |
1987 |
DBLP DOI BibTeX RDF |
|
35 | Kenneth Sundberg, Timothy O'Connor, Hyrum Carroll, Mark J. Clement, Quinn Snell |
Using Parsimony to Guide Maximum Likelihood Searches. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BIBE ![In: Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2007, October 14-17, 2007, Harvard Medical School, Boston, MA, USA, pp. 774-779, 2007, IEEE Computer Society, 978-1-4244-1509-0. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
35 | John M. M. Anderson, R. Srinivasan, Bernard Anthony Mair, John R. Votaw |
Accelerated penalized weighted least-squares and maximum likelihood algorithms for reconstructing transmission images from PET transmission data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Medical Imaging ![In: IEEE Trans. Medical Imaging 24(3), pp. 337-351, 2005. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
35 | Benny Chor, Tamir Tuller |
Maximum Likelihood of Evolutionary Trees Is Hard. ![Search on Bibsonomy](Pics/bibsonomy.png) |
RECOMB ![In: Research in Computational Molecular Biology, 9th Annual International Conference, RECOMB 2005, Cambridge, MA, USA, May 14-18, 2005, Proceedings, pp. 296-310, 2005, Springer, 3-540-25866-3. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
35 | Victor K. Y. Chan |
Software Effort Prediction Models Using Maximum Likelihood Methods Require Multivariate Normality of the Software Metrics Data Sample: Can Such a Sample Be Made Multivariate Normal? ![Search on Bibsonomy](Pics/bibsonomy.png) |
COMPSAC ![In: 28th International Computer Software and Applications Conference (COMPSAC 2004), Design and Assessment of Trustworthy Software-Based Systems, 27-30 September 2004, Hong Kong, China, Proceedings, pp. 274-279, 2004, IEEE Computer Society, 0-7695-2209-2. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
|
35 | Louigi Addario-Berry, Benny Chor, Michael T. Hallett, Jens Lagergren, Alessandro Panconesi, Todd Wareham |
Ancestral Maximum Likelihood of Evolutionary Trees Is Hard. ![Search on Bibsonomy](Pics/bibsonomy.png) |
WABI ![In: Algorithms in Bioinformatics, Third International Workshop, WABI 2003, Budapest, Hungary, September 15-20, 2003, Proceedings, pp. 202-215, 2003, Springer, 3-540-20076-2. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
|
34 | Panagiotis Besbeas, Byron J. T. Morgan |
Improved estimation of the stable laws. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 18(2), pp. 219-231, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Arithmetic spacing, Bounded influence, Efficiency comparison, First zero, k-L method, Koutrouvelis method, Testing for stability, Transform variable selection, Robustness, Maximum-likelihood, Goodness-of-fit |
34 | Kazuya Shibata, Koichiro Rinsaka, Tadashi Dohi, Hiroyuki Okamura |
Quantifying Software Maintainability Based on a Fault-Detection/Correction Model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PRDC ![In: 13th IEEE Pacific Rim International Symposium on Dependable Computing (PRDC 2007), 17-19 December, 2007, Melbourne, Victoria, Australia, pp. 35-42, 2007, IEEE Computer Society, 0-7695-3054-0. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
fault correction process, Mt/M/ queueing model, software reliability, maximum likelihood estimation |
34 | Alain Biem |
Minimum Classification Error Training for Online Handwriting Recognition. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 28(7), pp. 1041-1051, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
Minimum classification error, dynamic programming, hidden Markov model, finite state machine, handwriting recognition, maximum likelihood, discriminative training |
34 | Felix A. Taubin |
Asymptotic Performance Analysis of a TCM System over Fading Multiple-Access Channel. ![Search on Bibsonomy](Pics/bibsonomy.png) |
NEW2AN ![In: Next Generation Teletraffic and Wired/Wireless Advanced Networking, 6th International Conference, NEW2AN 2006, St. Petersburg, Russia, May 29 - June 2, 2006, Proceedings, pp. 433-440, 2006, Springer, 3-540-34429-2. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
Trellis coded modulation, multiple-access transmission, maximum likelihood decoding, other-users interference, bit-error rate, fading channels |
34 | Werner Schindler, Kerstin Lemke, Christof Paar |
A Stochastic Model for Differential Side Channel Cryptanalysis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CHES ![In: Cryptographic Hardware and Embedded Systems - CHES 2005, 7th International Workshop, Edinburgh, UK, August 29 - September 1, 2005, Proceedings, pp. 30-46, 2005, Springer, 3-540-28474-5. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
Differential Side Channel Cryptanalysis, Minimum Principle, Maximum Likelihood Principle, Stochastic Model, DPA, Power Analysis, DEMA, Template Attack, Electromagnetic Analysis |
34 | Reza Hoseinnezhad, Behzad Moshiri, Mohammad Reza Asharif |
Improved Pose Estimation for Mobile Robots by Fusion of Odometry Data and Environment Map. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Intell. Robotic Syst. ![In: J. Intell. Robotic Syst. 36(1), pp. 89-108, 2003. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
dead reckoning calibration, pose estimation, maximum likelihood, map building, sensor data fusion, occupancy grids |
34 | Dorin Comaniciu |
Bayesian Kernel Tracking. ![Search on Bibsonomy](Pics/bibsonomy.png) |
DAGM-Symposium ![In: Pattern Recognition, 24th DAGM Symposium, Zurich, Switzerland, September 16-18, 2002, Proceedings, pp. 438-445, 2002, Springer, 3-540-44209-X. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
Maximum Likelihood Parameter Estimation, Joint Domain Density, Appearance Change, Real-Time Tracking |
34 | Lothar Hermes, Thomas Zöller, Joachim M. Buhmann |
Parametric Distributional Clustering for Image Segmentation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ECCV (3) ![In: Computer Vision - ECCV 2002, 7th European Conference on Computer Vision, Copenhagen, Denmark, May 28-31, 2002, Proceedings, Part III, pp. 577-591, 2002, Springer, 3-540-43746-0. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
Clustering, Image Segmentation, Information Theory, Maximum Likelihood |
34 | Michael S. Lew, Nicu Sebe, Thomas S. Huang |
Improving Visual Matching. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CVPR ![In: 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 13-15 June 2000, Hilton Head, SC, USA, pp. 2058-2065, 2000, IEEE Computer Society, 0-7695-0662-3. The full citation details ...](Pics/full.jpeg) |
2000 |
DBLP DOI BibTeX RDF |
visual matching, real noise distribution, content based retrieval, stereo, maximum likelihood, visual information retrieval, robust methods |
34 | Arnon Amir, Michael Lindenbaum |
A Generic Grouping Algorithm and Its Quantitative Analysis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 20(2), pp. 168-185, 1998. The full citation details ...](Pics/full.jpeg) |
1998 |
DBLP DOI BibTeX RDF |
grouping analysis, Wald's SPRT, generic grouping algorithm, performance prediction, maximum likelihood, Perceptual grouping, graph clustering |
Displaying result #1 - #100 of 6441 (100 per page; Change: ) Pages: [ 1][ 2][ 3][ 4][ 5][ 6][ 7][ 8][ 9][ 10][ >>] |
|