Search results for "H-likelihood"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
49	Malene Højbjerre	Profile likelihood in directed graphical models from BUGS output.	Stat. Comput.	2003	DBLP DOI BibTeX RDF	directed graphical model, Bayesian graphical model, profile likelihood, integrated likelihood, BUGS
48	Youngjo Lee 0001, John A. Nelder, Maengseok Noh	H-likelihood: problems and solutions.	Stat. Comput.	2007	DBLP DOI BibTeX RDF	Hierarchical-likelihood, H-likelihood, Marginal likelihood, Hierarchical generalized linear models, Random effects
48	Youngjo Lee 0001	Robust variance estimators for fixed-effect estimates with hierarchical-likelihood.	Stat. Comput.	2002	DBLP DOI BibTeX RDF	hierarchical likelihood, marginal likelihood, model misspecification, hierarchical generalized linear models, robust, likelihood
48	Serge Ayer, Harpreet S. Sawhney	Layered Representation of Motion Video Using Robust Maximum-Likelihood Estimation of Mixture Models and MDL Encoding.	ICCV	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
46	Erik Lindström	Estimating parameters in diffusion processes using an approximate maximum likelihood approach.	Ann. Oper. Res.	2007	DBLP DOI BibTeX RDF	Approximate likelihood function, Durham-Gallant estimator, Crank-Nicholson scheme, Cox-Ingersoll-Ross model, Non-linear CKLS model
46	Juw Won Park, James F. Cremer, Alberto M. Segre	Visual exploration of genetic likelihood space.	SAC	2006	DBLP DOI BibTeX RDF	genetic likelihood space, linkage analysis, statistical genetics, scientific visualization, multidimensional data
45	Jesse Bennett, Alireza Khotanzad	A Maximum Likelihood Estimation Method for Multispectral Autoregressive Image Models.	ICIP (2)	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
42	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.	Optim. Lett.	2008	DBLP DOI BibTeX RDF
41	Thorsten Brants	Test Data Likelihood for PLSA Models.	Inf. Retr.	2005	DBLP DOI BibTeX RDF	PLSA, Probabilistic Latent Semantic Analysis, likelihood
41	Doron Blatt, Alfred O. Hero III	Asymptotic Characterization of Log-Likelihood Maximization Based Algorithms and Applications.	EMMCVPR	2003	DBLP DOI BibTeX RDF	clustering, sensor networks, data fusion, mixture models, Maximum likelihood
41	Serkan Hosten, Amit Khetan, Bernd Sturmfels	Solving the Likelihood Equations.	Found. Comput. Math.	2005	DBLP DOI BibTeX RDF	Maximum likelihood degree, Syzygies, Maximum likelihood, Phylogenetic trees
41	G. D. Rayner, Helen L. MacGillivray	Numerical maximum likelihood estimation for the g-and-k and generalized g-and-h distributions.	Stat. Comput.	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)
41		Assessing a Mixture Model for Clustering with the Integrated Completed Likelihood.	IEEE Trans. Pattern Anal. Mach. Intell.	2000	DBLP DOI BibTeX RDF	integrated likelihood, integrated completed likelihood, ICL criterion, clustering, Mixture model, BIC
41	Timothy J. Schulz	A Fast Algorithm for Maximum-Likelihood Imaging with Coherent Speckle Measurements.	ICIP (1)	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
41	Xinhua Zhuang, Tao Wang, Peng Zhang	A Highly Robust Estimator Through Partially Likelihood Function Modeling and Its Application in Computer Vision.	IEEE Trans. Pattern Anal. Mach. Intell.	1992	DBLP DOI BibTeX RDF	model fitting estimator, partially likelihood function modeling, unknown log likelihood function, Bayesian statistical decision rule, single rigid motion estimation, multiple rigid motion segmentation, contaminated Gaussian mixture models, pattern recognition, pattern recognition, computer vision, computer vision, picture processing, picture processing, decision theory, Bayes methods, estimation theory
38	Yang-Ming Zhu, Steven M. Cochoff	Likelihood maximization approach to image registration.	IEEE Trans. Image Process.	2002	DBLP DOI BibTeX RDF
37	Benny Chor, Tamir Tuller	Finding a maximum likelihood tree is hard.	J. ACM	2006	DBLP DOI BibTeX RDF	approximate vertex cover, tree reconstruction, Maximum likelihood, maximum parsimony, intractability
37	Daphna Weinshall, Michael Werman	On View Likelihood and Stability.	IEEE Trans. Pattern Anal. Mach. Intell.	1997	DBLP DOI BibTeX RDF	Generic views, canonical views, view likelihood, view stability, Bayesian vision, object recognition, 3D reconstruction, characteristic views
36	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.	Int. J. Comput. Vis.	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
36	Chuhsing Kate Hsiao, Su-Yun Huang, Ching-Wei Chang	Bayesian marginal inference via candidate's formula.	Stat. Comput.	2004	DBLP DOI BibTeX RDF	marginal likelihood, marginal likelihood identity, Markov chain Monte Carlo, kernel density estimation, Gibbs sampler, Metropolis-Hasting algorithm, Bayes factor
36	Xiaojuan Feng, Christopher K. I. Williams, Stephen N. Felderhof	Combining Belief Networks and Neural Networks for Scene Segmentation.	IEEE Trans. Pattern Anal. Mach. Intell.	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)
36	Rómer Rosales, Stan Sclaroff	Specialized Mappings and the Estimation of Human Body Pose from a Single Image.	Workshop on Human Motion	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
34	Alexandre Renaux, Philippe Forster, Eric Boyer, Pascal Larzabal	Unconditional Maximum Likelihood Performance at Finite Number of Samples and High Signal-to-Noise Ratio.	IEEE Trans. Signal Process.	2007	DBLP DOI BibTeX RDF
34	Nicu Sebe, Michael S. Lew	Maximum Likelihood Stereo Matching.	ICPR	2000	DBLP DOI BibTeX RDF
34	Oscar Nestares, David J. Fleet, David J. Heeger	Likelihood Functions and Confidence Bounds for Total-Least-Squares Problems.	CVPR	2000	DBLP DOI BibTeX RDF
34	Dirk Ormoneit, Volker Tresp	Averaging, maximum penalized likelihood and Bayesian estimation for improving Gaussian mixture probability density estimates.	IEEE Trans. Neural Networks	1998	DBLP DOI BibTeX RDF
33	Antoni Burguera, Yolanda González Cid, Gabriel Oliver	On the use of likelihood fields to perform sonar scan matching localization.	Auton. Robots	2009	DBLP DOI BibTeX RDF	Likelihood fields, Sonar, Scan matching
33	Giulianella Coletti, Romano Scozzafava, Barbara Vantaggi	Integrated Likelihood in a Finitely Additive Setting.	ECSQARU	2009	DBLP DOI BibTeX RDF	statistical inference, Conditional probability, likelihood function
33	Yungtai Lo	A likelihood ratio test of a homoscedastic normal mixture against a heteroscedastic normal mixture.	Stat. Comput.	2008	DBLP DOI BibTeX RDF	Normal mixture, EM algorithm, Bootstrap, Likelihood ratio test
33	JiaDong Zhang, Kun Yue, Weiyi Liu	Learning and Inferences of the Bayesian Network with Maximum Likelihood Parameters.	ADMA	2008	DBLP DOI BibTeX RDF	Maximum likelihood hypothesis, Sigmoid, Support vector machine, Bayesian network, Inference
33	Alexandros Stamatakis, Thomas Ludwig 0002, Harald Meier	A fast program for maximum likelihood-based inference of large phylogenetic trees.	SAC	2004	DBLP DOI BibTeX RDF	parallel & distributed computing, maximum likelihood, phylogenetic inference
33	Fernand S. Cohen, Zhigang Fan 0001, Maqbool Patel	Classification of Rotated and Scaled Textured Images Using Gaussian Markov Random Field Models.	IEEE Trans. Pattern Anal. Mach. Intell.	1991	DBLP DOI BibTeX RDF	rotated textured images, scaled textured images, Gaussian Markov random field models, parent texture classes, training texture images, white nonstationary Gaussian random field, Cramer-Rao error bounds, modified Bayes decision rule, classification power, Brodatz album, pattern recognition, pattern recognition, parameter estimation, parameter estimation, discrete Fourier transform, decision theory, Bayes methods, random processes, power spectral density, likelihood function
32	Zhenyu Zhou, Richard M. Leahy	Approximate maximum likelihood hyperparameter estimation for Gibbs priors.	ICIP	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
32	Ying Yang	Penalized semiparametric density estimation.	Stat. Comput.	2009	DBLP DOI BibTeX RDF	Penalized likelihood estimation, Generalized maximum likelihood criterion, Smoothing splines, Density estimation, Reproducing kernel Hilbert space
30	Hlaing Minn, Poramate Tarasak	Improved maximum likelihood frequency offset estimation based on likelihood metric design.	IEEE Trans. Signal Process.	2006	DBLP DOI BibTeX RDF
30	Yufeng Wu	Exact Computation of Coalescent Likelihood under the Infinite Sites Model.	ISBRA	2009	DBLP DOI BibTeX RDF
30	Mostafa M. Hassan, Amir F. Atiya, Raafat El-Fouly	A new multidimensional penalized likelihood regression method.	IJCNN	2008	DBLP DOI BibTeX RDF
30	Yair Noam, Joseph Tabrikian	Marginal Likelihood for Estimation and Detection Theory.	IEEE Trans. Signal Process.	2007	DBLP DOI BibTeX RDF
30	Wolfgang Jank	Efficient simulated maximum likelihood with an application to online retailing.	Stat. Comput.	2006	DBLP DOI BibTeX RDF	Laplace approximation, Halton sequence, Geostatistical model, Importance sampling, Spatial data, Low-discrepancy sequence, Quasi-Monte Carlo
30	Venkatesan Guruswami, Alexander Vardy	Maximum-likelihood decoding of Reed-Solomon codes is NP-hard.	IEEE Trans. Inf. Theory	2005	DBLP DOI BibTeX RDF
30	Haijing Wang, Peihua Li, Tianwen Zhang	Novel likelihood estimation technique based on boosting detector.	ICIP (3)	2005	DBLP DOI BibTeX RDF
30	Venkatesan Guruswami, Alexander Vardy	Maximum-likelihood decoding of Reed-Solomon codes is NP-hard.	SODA	2005	DBLP BibTeX RDF
30	Daniel Grossman, Pedro M. Domingos	Learning Bayesian network classifiers by maximizing conditional likelihood.	ICML	2004	DBLP DOI BibTeX RDF
30	Anthony Y. C. Kuk	Automatic choice of driving values in Monte Carlo likelihood approximation via posterior simulations.	Stat. Comput.	2003	DBLP DOI BibTeX RDF	generalized linear mixed models, prior sharpening, Markov chain Monte Carlo, missing data, random effects, data duplication, Bayesian computation
30	Tiffani L. Williams, Bernard M. E. Moret	An Investigation of Phylogenetic Likelihood Methods.	BIBE	2003	DBLP DOI BibTeX RDF
30	Yi Sun	Local Maximum Likelihood Multiuser Detection for CDMA Communications.	ITCC	2001	DBLP DOI BibTeX RDF
30	Rune B. Lyngsø, Yun S. Song, Jotun Hein	Accurate Computation of Likelihoods in the Coalescent with Recombination Via Parsimony.	RECOMB	2008	DBLP DOI BibTeX RDF
30	Eran Halperin, Elad Hazan	HAPLOFREQ - Estimating Haplotype Frequencies E.ciently.	RECOMB	2005	DBLP DOI BibTeX RDF
29	Florent Chatelain, Sophie Lambert-Lacroix, Jean-Yves Tourneret	Pairwise likelihood estimation for multivariate mixed Poisson models generated by Gamma intensities.	Stat. Comput.	2009	DBLP DOI BibTeX RDF	Pairwise likelihood estimation, Multivariate mixed Poisson models, Multivariate Gamma distributions, Negative multinomial distributions
29	Adam M. Johansen, Arnaud Doucet, Manuel Davy	Particle methods for maximum likelihood estimation in latent variable models.	Stat. Comput.	2008	DBLP DOI BibTeX RDF	Simulated annealing, Markov chain Monte Carlo, Maximum likelihood, Sequential Monte Carlo, Latent variable models
29	Eugène-Patrice Ndong Nguéma, Guillaume Saint-Pierre	Model-based classification with dissimilarities: a maximum likelihood approach.	Pattern Anal. Appl.	2008	DBLP DOI BibTeX RDF	Dissimilarity data, Model-based classifier, Intrinsic data dimension, Success classification rate, Maximum likelihood estimate, Multidimensional scaling
29	Gregory C. Sharp, Sang Wook Lee, David K. Wehe	Maximum-Likelihood Registration of Range Images with Missing Data.	IEEE Trans. Pattern Anal. Mach. Intell.	2008	DBLP DOI BibTeX RDF	Registration, Maximum Likelihood, Range data, Pixel classification
29	Ard Oerlemans, Bart Thomee	Interactive Feedback for Video Tracking Using a Hybrid Maximum Likelihood Similarity Measure.	ICCV-HCI	2007	DBLP DOI BibTeX RDF	hybrid maximum likelihood similarity, relevance feedback, video analysis, object tracking, motion detection, Visual similarity
29	Murray Aitkin, Richard J. Boys, Tom Chadwick	Bayesian point null hypothesis testing via the posterior likelihood ratio.	Stat. Comput.	2005	DBLP DOI BibTeX RDF	point null hypothesis, likelihood ratio, Bayes factor, posterior distribution
29	Victor K. Y. Chan, W. Eric Wong	Optimizing and Simplifying Software Metric Models Constructed Using Maximum Likelihood Methods.	COMPSAC (1)	2005	DBLP DOI BibTeX RDF	modeling, software metrics, maximum likelihood method
29	Leon Poladian	A GA for maximum likelihood phylogenetic inference using neighbour-joining as a genotype to phenotype mapping.	GECCO	2005	DBLP DOI BibTeX RDF	genotype to phenotype mapping, neighbour joining, genetic algorithms, maximum likelihood, phylogenetic inference
29	Dirk P. Kroese, Reuven Y. Rubinstein	The Transform Likelihood Ratio Method for Rare Event Simulation with Heavy Tails.	Queueing Syst. Theory Appl.	2004	DBLP DOI BibTeX RDF	simulation, importance sampling, heavy tail distributions, rare events, cross-entropy, likelihood ratio
29	Murray Aitkin, Roberto Rocci	A general maximum likelihood analysis of measurement error in generalized linear models.	Stat. Comput.	2002	DBLP DOI BibTeX RDF	random effects GLM, nonparametric maximum likelihood, EM algorithm, mixture model, measurement error, Gaussian quadrature
29	Ross T. Whitaker, Jens Gregor	A Maximum-Likelihood Surface Estimator for Dense Range Data.	IEEE Trans. Pattern Anal. Mach. Intell.	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
29	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.	SC	2001	DBLP DOI BibTeX RDF	scalability, bioinformatics, maximum likelihood, parallel applications, phylogenetics
29	Clare A. McGrory, D. M. Titterington, R. Reeves, Anthony N. Pettitt	Variational Bayes for estimating the parameters of a hidden Potts model.	Stat. Comput.	2009	DBLP DOI BibTeX RDF	Potts/Ising model, Hidden Markov random field, Variational approximation, Pseudo-likelihood, Reduced dependence approximation, Bayesian inference
29	Filip Korc, Wolfgang Förstner	Approximate Parameter Learning in Conditional Random Fields: An Empirical Investigation.	DAGM-Symposium	2008	DBLP DOI BibTeX RDF	Approximate parameter learning, pseudo-likelihood, Markov Random Field, Conditional Random Field
29	Paul Fearnhead	Filtering recursions for calculating likelihoods for queues based on inter-departure time data.	Stat. Comput.	2004	DBLP DOI BibTeX RDF	Er/G/1 queues, indirect inference, likelihood recursions, missing data, forward-backward algorithm, M/G/1 queues
28	Timothy J. Roberts, Stephen J. McKenna, Ian W. Ricketts	Human Pose Estimation Using Partial Configurations and Probabilistic Regions.	Int. J. Comput. Vis.	2007	DBLP DOI BibTeX RDF	human pose estimation, boundary likelihood, interpart likelihood, part based estimation, colour features
28	Youngjo Lee 0001, John A. Nelder	Fitting via alternative random-effect models.	Stat. Comput.	2006	DBLP DOI BibTeX RDF	Correlated random effects, Restricted-maximum likelihood, Hierarchical generalized linear models, Maximum-likelihood estimator, Random effect models
28	U. A. Al-Suwailem, J. Keller	Multichannel Image Identification and Restoration Using Continuous Spatial Domain Modeling.	ICIP (2)	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
28	Claude Thibeault	A novel probabilistic approach for IC diagnosis based on differential quiescent current signatures.	VTS	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
28	Zoltan Kato, Josiane Zerubia, Marc Berthod	Unsupervised Parallel Image Classificiation Using a Hierarchical Markovian Model.	ICCV	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
28	Lance R. Williams, David W. Jacobs	Stochastic Completion Fields: A Neural Model of Illusory Contour Shape and Salience.	ICCV	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
28	Baback Moghaddam, Alex Pentland	Probabilistic Visual Learning for Object Detection.	ICCV	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
28	Fernand S. Cohen, Georgia Georgiou	Detecting and estimating structure regularity of soft tissue organs from ultrasound images.	ICIP	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
28	Chieh-Min Fan, Nader M. Namazi	Estimation of image motion parameters using the EM algorithm.	ICIP	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
28	S. Sista, Charles A. Bouman, Jan P. Allebach	Fast image search using a multiscale stochastic model.	ICIP	1995	DBLP DOI BibTeX RDF	multiscale stochastic model, fast image search, pattern occurrence, multiresolution matching criterion, generalized log likelihood ratio, multiscale search technique, template locations, formal detection theory, robustness, image matching, accuracy, stochastic processes, search problems, resolution, image resolution, image processing applications, maximum likelihood detection
28	Brian C. Tom, Aggelos K. Katsaggelos	Reconstruction of a high-resolution image by simultaneous registration, restoration, and interpolation of low-resolution images.	ICIP	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
28	Kristine E. Matthews, Nader M. Namazi	Simultaneous motion parameter estimation and image segmentation using the EM algorithm.	ICIP	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
28	Timothy J. Schulz	Coherent array imaging with sparse arrays.	ICIP	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
28	Benjamin W. Wah, Arthur Ieumwananonthachai, Shu Yao, Ting Yu	Statistical generalization: theory and applications.	ICCD	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
28	Sylvia Campodónico, Nozer D. Singpurwalla	A Bayesian Analysis of the Logarithmic-Poisson Execution Time Model Based on Expert Opinion and Failure Data.	IEEE Trans. Software Eng.	1994	DBLP DOI BibTeX RDF	logarithmic-Poisson execution time model, failure data, empirical experiences, joint distribution, software testing, software quality, software reliability, program testing, maximum likelihood estimation, Bayes methods, personal computer, Bayesian analysis, software reliability models, software failures, expert knowledge, likelihood function, nonhomogeneous Poisson process, NHPP, failure prediction, software reliability assessment, expert opinion
28	Shyh-shiaw Kuo, Oscar E. Agazzi	Keyword Spotting in Poorly Printed Documents using Pseudo 2-D Hidden Markov Models.	IEEE Trans. Pattern Anal. Mach. Intell.	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
28	Scott A. Vander Wiel, Lawrence G. Votta	Assessing Software Designs Using Capture-Recapture Methods.	IEEE Trans. Software Eng.	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
28	Maqbool Patel, Fernand S. Cohen	Local Surface Shape Estimation of 3-D Textured Surfaces using Gaussian Markov Random Fields and Stereo Windows.	IEEE Trans. Pattern Anal. Mach. Intell.	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
25	Jonathan Gallagher, Randolph L. Moses, Emre Ertin	Distributed Computation of Likelihood Maps for Target Tracking.	DCOSS	2009	DBLP DOI BibTeX RDF
25	Zheng Jiang 0001, Yang Zhang, Xin Zhang 0001, Dacheng Yang	Carrier Frequency Offset Estimation Using Likelihood Particle Filter for Uplink MIMO-OFDMA Systems.	VTC Spring	2008	DBLP DOI BibTeX RDF
25	Shifei Ding, Fengxiang Jin	A Novel Fuzzy Likelihood Measure Algorithm.	CSSE (1)	2008	DBLP DOI BibTeX RDF
25	José-Luis Blanco, Javier Gonzalez, Juan-Antonio Fernández-Madrigal	A Consensus-based Approach for Estimating the Observation Likelihood of Accurate Range Sensors.	ICRA	2007	DBLP DOI BibTeX RDF
25	Masatsugu Higashinaka, Katsuyuki Motoyoshi, Takayuki Nagayasu, Hiroshi Kubo, Akihiro Shibuya, Akihiro Okazaki	Likelihood Estimation for Reduced-Complexity ML Detectors in a MIMO System.	VTC Spring	2007	DBLP DOI BibTeX RDF
25	Daniel K. C. So, Roger S. Cheng	Layered maximum likelihood detection for MIMO systems in frequency selective fading channels.	IEEE Trans. Wirel. Commun.	2006	DBLP DOI BibTeX RDF
25	Chak-Fai Li, Man-Hung Siu, Jeff Siu-Kei Au-Yeung	Recursive likelihood evaluation and fast search algorithm for polynomial segment model with application to speech recognition.	IEEE Trans. Speech Audio Process.	2006	DBLP DOI BibTeX RDF
25	Rong Duan, Wei Jiang, Hong Man	Semi-Supervised Image Classification in Likelihood Space.	ICIP	2006	DBLP DOI BibTeX RDF
25	Mathew M. Noel, Parag P. Joshi, Thomas C. Jannett	Improved Maximum Likelihood Estimation of Target Position in Wireless Sensor Networks using Particle Swarm Optimization.	ITNG	2006	DBLP DOI BibTeX RDF
25	Rong Duan, Wei Jiang, Hong Man	Robust Adjusted Likelihood Function for Image Analysis.	AIPR	2006	DBLP DOI BibTeX RDF
25	Ninad Thakoor, Sungyong Jung, Jean Gao	Hidden Markov Model Based Weighted Likelihood Discriminant for Minimum Error Shape Classification.	ICME	2005	DBLP DOI BibTeX RDF
25	JaeMo Sung, Sung Yang Bang, Seungjin Choi, Zoubin Ghahramani	U-Likelihood and U-Updating Algorithms: Statistical Inference in Latent Variable Models.	ECML	2005	DBLP DOI BibTeX RDF
25	Jeroen Lichtenauer, Marcel J. T. Reinders, Emile A. Hendriks	Influence of The Observation Likelihood Function on Particle Filtering Performance in Tracking Applications.	FGR	2004	DBLP DOI BibTeX RDF
25	Shuicheng Yan, Mingjing Li, HongJiang Zhang, QianSheng Cheng	Ranking Prior Likelihood Distributions for Bayesian Shape Localization Framework.	ICCV	2003	DBLP DOI BibTeX RDF
25	Mark J. F. Gales	Maximum likelihood multiple subspace projections for hidden Markov models.	IEEE Trans. Speech Audio Process.	2002	DBLP DOI BibTeX RDF
25	Marenglen Biba, Stefano Ferilli, Floriana Esposito	Discriminative Structure Learning of Markov Logic Networks.	ILP	2008	DBLP DOI BibTeX RDF
25	Ydo Wexler, Dan Geiger	Variational Upper Bounds for Probabilistic Phylogenetic Models.	RECOMB	2007	DBLP DOI BibTeX RDF
25	Sangtae Ahn, Jeffrey A. Fessler	Emission image reconstruction for randoms-precorrected PET allowing negative sinogram values.	IEEE Trans. Medical Imaging	2004	DBLP DOI BibTeX RDF
25	Stefan Roth 0001, Leonid Sigal, Michael J. Black	Gibbs Likelihoods for Bayesian Tracking.	CVPR (1)	2004	DBLP DOI BibTeX RDF