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GrowBag graphs for keyword ? (Num. hits/coverage)
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Results
Found 1911 publication records. Showing 1911 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
83 | Romina Torres, Rodrigo Salas 0001, Héctor Allende, Claudio Moraga |
Robust Expectation Maximization Learning Algorithm for Mixture of Experts. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IWANN (1) ![In: Artificial Neural Nets Problem Solving Methods, 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN2003, Maó, Menorca, Spain, June 3-6, 2003 Proceedings, Part I, pp. 238-245, 2003, Springer, 3-540-40210-1. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
Robust Learning Algorithm, Expectation Maximization, Modular Neural Networks, Mixtures of Experts |
79 | 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 |
71 | Hongtu Zhu, Minggao Gu, Bradley S. Peterson |
Maximum likelihood from spatial random effects models via the stochastic approximation expectation maximization algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 17(2), pp. 163-177, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Spatial random effects models, Markov random fields, Markov chain Monte Carlo, Expectation maximization, Stochastic approximation |
71 | Yu Zhang, Zhidong Deng, Hongshan Jiang, Peifa Jia |
Gene Regulatory Network Construction Using Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM). ![Search on Bibsonomy](Pics/bibsonomy.png) |
RSKT ![In: Rough Sets and Knowledge Technology, First International Conference, RSKT 2006, Chongqing, China, July 24-26, 2006, Proceedings, pp. 402-407, 2006, Springer, 3-540-36297-5. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
structural expectation maximization, microarray, dynamic Bayesian network, gene regulatory network |
63 | Christophe Saint-Jean, Carl Frélicot, B. Vachon |
Clustering with EM: Complex Models vs. Robust Estimation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SSPR/SPR ![In: Advances in Pattern Recognition, Joint IAPR International Workshops SSPR 2000 and SPR 2000, [8th International Workshop on Structural and Syntactic Pattern Recognition, 3rd International Workshop on Statistical Techniques in Pattern Recognition], Alicante, Spain, August 30 - September 1, 2000, Proceedings, pp. 872-881, 2000, Springer, 3-540-67946-4. The full citation details ...](Pics/full.jpeg) |
2000 |
DBLP DOI BibTeX RDF |
Clustering, Robustness, Expectation-Maximization, M-estimation |
59 | Prashant K. Wali, M. N. Anil Prasad, N. C. Shreyas, N. C. Chaithanya, P. K. Kuttaiah |
Gaussian mixture model-expectation maximization based signal strength prediction for seamless connectivity in hybrid wireless networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MoMM ![In: MoMM'2009 - The 7th International Conference on Advances in Mobile Computing and Multimedia, 14-16 December 2009, Kuala Lumpur, Malaysia, pp. 493-497, 2009, ACM, 978-1-60558-659-5. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
GMM-CP, seamless connectivity, signal strength prediction, threshold signal strength, Markov model, Gaussian mixture model, expectation maximization |
59 | Bart Gajderowicz, Alireza Sadeghian, Marcus V. dos Santos |
Expectation maximization enhancement with evolutionstrategy for stochastic ontology mapping. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GECCO ![In: Genetic and Evolutionary Computation Conference, GECCO 2009, Proceedings, Montreal, Québec, Canada, July 8-12, 2009, pp. 1847-1848, 2009, ACM, 978-1-60558-325-9. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
heuristics, self-adaptation, expectation maximization, ontology mapping, stochastic algorithm |
59 | Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratnam |
TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 30(7), pp. 1146-1157, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
stability regions, unsupervised learning, dynamical systems, expectation maximization, model-based clustering, finite mixture models |
59 | Ahmad Abu-Naser, Nikolas P. Galatsanos, Miles N. Wernick |
Impulse restoration-based template-matching using the expectation-maximization algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIP (3) ![In: Proceedings 1997 International Conference on Image Processing, ICIP '97, Santa Barbara, California, USA, October 26-29, 1997, pp. 158-161, 1997, IEEE Computer Society, 0-8186-8183-7. The full citation details ...](Pics/full.jpeg) |
1997 |
DBLP DOI BibTeX RDF |
impulse restoration, template-matching filters, delta function, object location, background statistics, localization-receiver-operating characteristics, noise statistics, modeling, object recognition, object recognition, estimation, image restoration, object detection, experimental results, expectation-maximization algorithm, Gaussian noise, iterative approach |
59 | Henry A. Rowley, James M. Rehg |
Analyzing Articulated Motion Using Expectation-Maximization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CVPR ![In: 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), June 17-19, 1997, San Juan, Puerto Rico, pp. 935-941, 1997, IEEE Computer Society, 0-8186-7822-4. The full citation details ...](Pics/full.jpeg) |
1997 |
DBLP DOI BibTeX RDF |
Segmentation and grouping, Expectation-Maximization, Image sequence analysis, Articulated motion |
55 | Andrea Baraldi 0001, Lorenzo Bruzzone, Palma Blonda |
A multiscale expectation-maximization semisupervised classifier suitable for badly posed image classification. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Image Process. ![In: IEEE Trans. Image Process. 15(8), pp. 2208-2225, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
51 | Rui Li 0083, Bir Bhanu, Anlei Dong |
Feature synthesized EM algorithm for image retrieval. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ACM Trans. Multim. Comput. Commun. Appl. ![In: ACM Trans. Multim. Comput. Commun. Appl. 4(2), pp. 10:1-10:24, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Coevolutionary feature synthesis, content-based image retrieval, semi-supervised learning, expectation maximization |
51 | Shiqiang Hu, Guo-Zhuang Liang, Zhongliang Jing |
Robust Object Tracking Algorithm in Natural Environments. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICNC (2) ![In: Advances in Natural Computation, Second International Conference, ICNC 2006, Xi'an, China, September 24-28, 2006. Proceedings, Part II, pp. 516-525, 2006, Springer, 3-540-45907-3. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
adaptive appearance model, particle filter, visual tracking, Expectation Maximization algorithm |
51 | Jérôme Callut, Pierre Dupont |
Sequence Discrimination Using Phase-Type Distributions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ECML ![In: Machine Learning: ECML 2006, 17th European Conference on Machine Learning, Berlin, Germany, September 18-22, 2006, Proceedings, pp. 78-89, 2006, Springer, 3-540-45375-X. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
Supervised sequence classification, Markov chains, Expectation-Maximization, First passage times, Jensen-Shannon divergence |
51 | Konstantinos Blekas |
A Mixture Model Based Markov Random Field for Discovering Patterns in Sequences. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SETN ![In: Advances in Artificial Intelligence, 4th Helenic Conference on AI, SETN 2006, Heraklion, Crete, Greece, May 18-20, 2006, Proceedings, pp. 25-34, 2006, Springer, 3-540-34117-X. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
Pattern discovering, mixture of multinomials model, Markov random field, Expectation-Maximization (EM) algorithm |
51 | Yiu-ming Cheung |
Maximum Weighted Likelihood via Rival Penalized EM for Density Mixture Clustering with Automatic Model Selection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Knowl. Data Eng. ![In: IEEE Trans. Knowl. Data Eng. 17(6), pp. 750-761, 2005. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
Maximum weighted likelihood, rival penalized Expectation-Maximization algorithm, generalized rival penalization controlled competitive learning, cluster number, stochastic implementation |
51 | Rui Li 0083, Bir Bhanu, Anlei Dong |
Coevolutionary feature synthesized EM algorithm for image retrieval. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ACM Multimedia ![In: Proceedings of the 13th ACM International Conference on Multimedia, Singapore, November 6-11, 2005, pp. 696-705, 2005, ACM, 1-59593-044-2. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
coevolutionary feature synthesis, genetic programming, content-based image retrieval, semi-supervised learning, expectation maximization algorithm |
51 | Minghu Jiang, Dafan Liu, Beixing Deng, Georges G. E. Gielen |
A Bayesian Classifier by Using the Adaptive Construct Algorithm of the RBF Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISNN (1) ![In: Advances in Neural Networks - ISNN 2004, International Symposium on Neural Networks, Dalian, China, August 19-21, 2004, Proceedings, Part I, pp. 876-881, 2004, Springer, 3-540-22841-1. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
maximum-likelihood (ML), radial basis function (RBF), Gaussian mixture model (GMM), expectation-maximization (EM) |
51 | Kwong H. Yung |
Using Self-Consistent Naive-Bayes to Detect Masquerades. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PAKDD ![In: Advances in Knowledge Discovery and Data Mining, 8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004, Proceedings, pp. 329-340, 2004, Springer, 3-540-22064-X. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
self-consistent naive-Bayes, intrusion detection, anomaly detection, expectation-maximization algorithm, semisupervised learning, masquerade detection |
51 | Abdullah A. Al-Shaher, Edwin R. Hancock |
Arabic Character Recognition Using Structural Shape Decomposition. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CAIP ![In: Computer Analysis of Images and Patterns, 10th International Conference, CAIP 2003, Groningen, The Netherlands, August 25-27, 2003, Proceedings, pp. 478-486, 2003, Springer, 3-540-40730-8. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
hierarchical mixture of experts, Arabic scripts, expectation maximization algorithm, point distribution models, discrete relaxation |
51 | Andrew D. Wilson, Aaron F. Bobick |
Parametric Hidden Markov Models for Gesture Recognition. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 21(9), pp. 884-900, 1999. The full citation details ...](Pics/full.jpeg) |
1999 |
DBLP DOI BibTeX RDF |
computer vision, hidden Markov models, Gesture recognition, expectation-maximization algorithm, time-series modeling |
50 | Hoang Nguyen, Bernard C. Levy |
The expectation-maximization Viterbi algorithm for blind adaptive channel equalization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Commun. ![In: IEEE Trans. Commun. 53(10), pp. 1671-1678, 2005. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
47 | Tai-Pang Wu, Chi-Keung Tang |
Photometric Stereo via Expectation Maximization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 32(3), pp. 546-560, 2010. The full citation details ...](Pics/full.jpeg) |
2010 |
DBLP DOI BibTeX RDF |
albedo and visible surface reconstruction, normal, expectation maximization, Photometric stereo |
47 | Cristina Rubio-Escudero, Francisco Martínez-Álvarez, Rocío Romero-Záliz, Igor Zwir |
Classification of Gene Expression Profiles: Comparison of K-means and Expectation Maximization Algorithms. ![Search on Bibsonomy](Pics/bibsonomy.png) |
HIS ![In: 8th International Conference on Hybrid Intelligent Systems (HIS 2008), September 10-12, 2008, Barcelona, Spain, pp. 831-836, 2008, IEEE Computer Society, 978-0-7695-3326-1. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Classification of Gene expression Patterns, K-means, Microarray, Gene Expression, Expectation Maximization |
47 | Chad Carson, Serge J. Belongie, Hayit Greenspan, Jitendra Malik |
Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 24(8), pp. 1026-1038, 2002. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
Segmentation and grouping, clustering, image retrieval, Expectation-Maximization, image querying |
45 | Haixian Wang, Zilan Hu |
On EM Estimation for Mixture of Multivariate t-Distributions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Neural Process. Lett. ![In: Neural Process. Lett. 30(3), pp. 243-256, 2009. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Mixture of multivariate t-distributions, Robust modelling, Missing data, Expectation maximization (EM) algorithm |
45 | Ben North, Andrew Blake 0001, Michael Isard, Jens Rittscher |
Learning and Classification of Complex Dynamics. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 22(9), pp. 1016-1034, 2000. The full citation details ...](Pics/full.jpeg) |
2000 |
DBLP DOI BibTeX RDF |
learning dynamics, Auto-Regressive Process, Computer vision, Expectation Maximization |
44 | Hunsop Hong, Dan Schonfeld |
Maximum-Entropy Expectation-Maximization Algorithm for Image Reconstruction and Sensor Field Estimation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Image Process. ![In: IEEE Trans. Image Process. 17(6), pp. 897-907, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
44 | Daan Wierstra, Tom Schaul, Jan Peters 0001, Jürgen Schmidhuber |
Fitness Expectation Maximization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PPSN ![In: Parallel Problem Solving from Nature - PPSN X, 10th International Conference Dortmund, Germany, September 13-17, 2008, Proceedings, pp. 337-346, 2008, Springer, 978-3-540-87699-1. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
44 | Hadi Zayyani, Massoud Babaie-Zadeh, Christian Jutten |
Decoding real-field codes by an iterative Expectation-Maximization (EM) algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICASSP ![In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2008, March 30 - April 4, 2008, Caesars Palace, Las Vegas, Nevada, USA, pp. 3169-3172, 2008, IEEE, 1-4244-1484-9. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
44 | Daniel J. Blezek, W. Thomas Dixon, Paritosh J. Dhawale |
Single Image Phase-Based MRI Fat Suppression Expectation Maximization Algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CVPR (2) ![In: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 20-26 June 2005, San Diego, CA, USA, pp. 540-546, 2005, IEEE Computer Society, 0-7695-2372-2. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
39 | Chengpeng Bi |
A Monte Carlo EM Algorithm for De Novo Motif Discovery in Biomolecular Sequences. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE ACM Trans. Comput. Biol. Bioinform. ![In: IEEE ACM Trans. Comput. Biol. Bioinform. 6(3), pp. 370-386, 2009. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Monte Carlo EM, multiple sequence alignment, motif discovery, transcriptional regulation, Expectation maximization (EM) |
39 | Hiroyuki Okamura, Tadashi Dohi, Kishor S. Trivedi |
Markovian arrival process parameter estimation with group data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE/ACM Trans. Netw. ![In: IEEE/ACM Trans. Netw. 17(4), pp. 1326-1339, 2009. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
group data, maximum-likelihood (ML) estimation, network traffic, Markovian arrival process (MAP), Markov-modulated Poisson process (MMPP), expectation-maximization (EM) algorithm |
39 | Yi-Jen Chiu, Chien-Sheng Chen, Ting-Wei Chang |
Channel Estimation and ISI/ICI Cancellation for MIMO-OFDM Systems with Insufficient Cyclic Prefix. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Complex (2) ![In: Complex Sciences, First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009. Revised Papers, Part 2, pp. 1203-1212, 2009, Springer, 978-3-642-02468-9. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
multi-input multi-output orthogonal frequency division multiplexing (MIMO-OFDM), inter-symbol interference (ISI), inter-carrier interference (ICI), Expectation-Maximization (EM) algorithm |
39 | Grégory Nuel |
Counting Patterns in Degenerated Sequences. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PRIB ![In: Pattern Recognition in Bioinformatics, 4th IAPR International Conference, PRIB 2009, Sheffield, UK, September 7-9, 2009. Proceedings, pp. 222-232, 2009, Springer, 978-3-642-04030-6. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Expectation-Maximization algorithmn, Markov chain embedding, Deterministic Finite state Automaton, Forward-Backward algorithm |
39 | Daniel Pomerantz, Gregory Dudek |
Context Dependent Movie Recommendations Using a Hierarchical Bayesian Model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Canadian AI ![In: Advances in Artificial Intelligence, 22nd Canadian Conference on Artificial Intelligence, Canadian AI 2009, Kelowna, Canada, May 25-27, 2009, Proceedings, pp. 98-109, 2009, Springer, 978-3-642-01817-6. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
recommender system, context, Expectation Maximization, content-based, hierarchical Bayesian model |
39 | Hassan Khosravi, Recep Colak |
Exploratory Analysis of Co-Change Graphs for Code Refactoring. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Canadian AI ![In: Advances in Artificial Intelligence, 22nd Canadian Conference on Artificial Intelligence, Canadian AI 2009, Kelowna, Canada, May 25-27, 2009, Proceedings, pp. 219-223, 2009, Springer, 978-3-642-01817-6. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Clustering, Expectation Maximization, Software artifacts |
39 | Pei Fang Guo, Prabir Bhattacharya |
An evolutionary approach to feature function generation in application to biomedical image patterns. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GECCO ![In: Genetic and Evolutionary Computation Conference, GECCO 2009, Proceedings, Montreal, Québec, Canada, July 8-12, 2009, pp. 1883-1884, 2009, ACM, 978-1-60558-325-9. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
gaussian mixture estimation, the expectation maximization algorithm, artificial intelligence, genetic programming, texture analysis, hybrid evolutionary algorithm, feature generation |
39 | Ronan LeBras, Alessandro Zanarini, Gilles Pesant |
Efficient Generic Search Heuristics within the EMBP Framework. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CP ![In: Principles and Practice of Constraint Programming - CP 2009, 15th International Conference, CP 2009, Lisbon, Portugal, September 20-24, 2009, Proceedings, pp. 539-553, 2009, Springer, 978-3-642-04243-0. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Constraint Satisfaction, Expectation Maximization, Probabilistic Reasoning, Belief Propagation, Search Heuristics |
39 | Elhadi M. Shakshuki, Xinyu Xing, Tarek R. Sheltami |
An intelligent agent for fault reconnaissance in sensor networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
iiWAS ![In: iiWAS'2009 - The Eleventh International Conference on Information Integration and Web-based Applications and Services, 14-16 December 2009, Kuala Lumpur, Malaysia, pp. 139-146, 2009, ACM, 978-1-60558-660-1. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
wireless sensor networks, management, intelligent agents, expectation maximization algorithm |
39 | Tianming Hu, Ji Ouyang, Chao Qu, Chuanren Liu |
Initialization of the Neighborhood EM Algorithm for Spatial Clustering. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ADMA ![In: Advanced Data Mining and Applications, 5th International Conference, ADMA 2009, Beijing, China, August 17-19, 2009. Proceedings, pp. 487-495, 2009, Springer, 978-3-642-03347-6. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Neighborhood Expectation-Maximization, Initialization, Spatial Clustering |
39 | Dongfeng Han, Wenhui Li 0002, Zongcheng Li |
Semantic image classification using statistical local spatial relations model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Multim. Tools Appl. ![In: Multim. Tools Appl. 39(2), pp. 169-188, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Statistical local spatial relations model, Variational expectation maximization, Invariant local regions, Graph model, Semantic image classification |
39 | Khalid S. Alzimami, Salem A. Sassi, Nicholas M. Spyrou |
A Comparison Between 3D OSEM and FBP Image Reconstruction Algorithms in SPECT. ![Search on Bibsonomy](Pics/bibsonomy.png) |
World Congress on Engineering (Selected Papers) ![In: Advances in Electrical Engineering and Computational Science, [revised and extended papers from the World Congress on Engineering, WCE 2008, London, UK, July 2-4, 2008], pp. 195-206, 2008, Springer, 978-90-481-2310-0. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Filtered Back Projection, ordered-subsets expectation maximization, image attenuation, Image Reconstruction, Single Photon Emission Computed Tomography |
39 | Hau-Lee Tong, Mohammad Faizal Ahmad Fauzi, Ryoichi Komiya |
Segmentation of CT Head Images. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BMEI (2) ![In: Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics, BMEI 2008, May 28-30, 2008, Sanya, Hainan, China - Volume 2, pp. 233-237, 2008, IEEE Computer Society. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Image segmentation, Medical images, Expectation-maximization |
39 | Gustavo Carneiro 0001, Antoni B. Chan, Pedro J. Moreno 0001, Nuno Vasconcelos |
Supervised Learning of Semantic Classes for Image Annotation and Retrieval. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 29(3), pp. 394-410, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
semantic image annotation and retrieval, image segmentation, object recognition, Content-based image retrieval, expectation-maximization, Gaussian mixtures, multiple instance learning, weakly supervised learning |
39 | Naeem Seliya, Taghi M. Khoshgoftaar |
Software quality estimation with limited fault data: a semi-supervised learning perspective. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Softw. Qual. J. ![In: Softw. Qual. J. 15(3), pp. 327-344, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Software quality estimation, Software metrics, Semi-supervised learning, Expectation maximization, Unlabeled data |
39 | Yu Zhang, Zhidong Deng, Hongshan Jiang, Peifa Jia |
Inferring Gene Regulatory Networks from Multiple Data Sources Via a Dynamic Bayesian Network with Structural EM. ![Search on Bibsonomy](Pics/bibsonomy.png) |
DILS ![In: Data Integration in the Life Sciences, 4th International Workshop, DILS 2007, Philadelphia, PA, USA, June 27-29, 2007, Proceedings, pp. 204-214, 2007, Springer, 978-3-540-73254-9. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
structural Expectation Maximization, transcription factor binding location data, dynamic Bayesian network, gene regulatory networks, microarray data |
39 | Chengpeng Bi |
Multiple Sequence Local Alignment Using Monte Carlo EM Algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISBRA ![In: Bioinformatics Research and Applications, Third International Symposium, ISBRA 2007, Atlanta, GA, USA, May 7-10, 2007, Proceedings, pp. 465-476, 2007, Springer, 978-3-540-72030-0. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Monte Carlo EM, Multiple Sequence Local Alignment, Motif Discovery, Transcriptional Regulation, Expectation Maximization (EM) |
39 | Limin Xu, Zhenmin Tang, Keke He, Bo Qian 0004 |
Transformation-Based GMM with Improved Cluster Algorithm for Speaker Identification. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PAKDD ![In: Advances in Knowledge Discovery and Data Mining, 11th Pacific-Asia Conference, PAKDD 2007, Nanjing, China, May 22-25, 2007, Proceedings, pp. 1006-1014, 2007, Springer, 978-3-540-71700-3. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Improved cluster algorithm, Gaussian mixture model (GMM), Linear transformation, Expectation-maximization (EM) algorithm |
39 | Xintao Wu |
Incorporating large unlabeled data to enhance EM classification. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Intell. Inf. Syst. ![In: J. Intell. Inf. Syst. 26(3), pp. 211-226, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
Classification, Bootstrap, Expectation maximization |
39 | Zhenyue Zhang, Yiu-ming Cheung |
On Weight Design of Maximum Weighted Likelihood and an Extended EM Algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Knowl. Data Eng. ![In: IEEE Trans. Knowl. Data Eng. 18(10), pp. 1429-1434, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
Maximum weighted likelihood, weight design, extended expectation-maximization algorithm, model selection |
39 | Roberto Manduchi |
Learning Outdoor Color Classification. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 28(11), pp. 1713-1723, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
classification, expectation maximization, Color constancy |
39 | Richard Nock, Frank Nielsen |
On Weighting Clustering. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 28(8), pp. 1223-1235, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
khbox{-}rm means, fuzzy khbox{-}rm means, harmonic means clustering, Clustering, expectation maximization, Bregman divergences |
39 | Jane Yung-jen Hsu, Kwei-Jay Lin, Tsung-Hsiang Chang, Chien-Ju Ho, Han-Shen Huang, Wan-rong Jih |
Parameter learning of personalized trust models in broker-based distributed trust management. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Inf. Syst. Frontiers ![In: Inf. Syst. Frontiers 8(4), pp. 321-333, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
Distributed trust management, Probabilistic trust model, Personalized feedback rating, Expectation maximization, Reputation mechanism, Parameter learning |
39 | Georgiana Ifrim, Gerhard Weikum |
Transductive Learning for Text Classification Using Explicit Knowledge Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PKDD ![In: Knowledge Discovery in Databases: PKDD 2006, 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, Berlin, Germany, September 18-22, 2006, Proceedings, pp. 223-234, 2006, Springer, 3-540-45374-1. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
expectation-maximization, transductive learning, latent models |
39 | Tianming Hu, Sam Yuan Sung |
Clustering spatial data with a hybrid EM approach. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Pattern Anal. Appl. ![In: Pattern Anal. Appl. 8(1-2), pp. 139-148, 2005. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
Spatial penalty term, Penalized likelihood, Gaussian mixture, Expectation maximization algorithm, Spatial clustering, Spatial autocorrelation |
39 | Huidong Jin 0001, Man Leung Wong, Kwong-Sak Leung |
Scalable Model-Based Clustering for Large Databases Based on Data Summarization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 27(11), pp. 1710-1719, 2005. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
Scalable clustering, data summary, maximum penalized likelihood estimate, Gaussian mixture model, expectation-maximization |
39 | Qiang Zhu 0006, Ching-Tung Wu, Kwang-Ting Cheng, Yi-Leh Wu |
An adaptive skin model and its application to objectionable image filtering. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ACM Multimedia ![In: Proceedings of the 12th ACM International Conference on Multimedia, New York, NY, USA, October 10-16, 2004, pp. 56-63, 2004, ACM, 1-58113-893-8. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
objectionable image filtering, SVM, gaussian mixture model, expectation maximization, skin detection |
39 | Ravi Bansal, Lawrence H. Staib, Bradley S. Peterson |
Correcting Nonuniformities in MRI Intensities Using Entropy Minimization Based on an Elastic Model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MICCAI (1) ![In: Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 7th International Conference Saint-Malo, France, September 26-29, 2004, Proceedings, Part I, pp. 78-86, 2004, Springer, 3-540-22976-0. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
Entropy, Partial Differential Equation, Expectation Maximization (EM), Elastic Deformation |
39 | Hamid Laga, Hiroki Takahashi, Masayuki Nakajima 0001 |
Scale-Space Processing of Point-Sampled Geometry for Efficient 3D Object Segmentation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CW ![In: 3rd International Conference on Cyberworlds (CW 2004), 18-20 November 2004, Tokyo, Japan, pp. 377-383, 2004, IEEE Computer Society, 0-7695-2140-1. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
3D object segmentation, Scale-space, Expectation-Maximization algorithm |
39 | Mário A. T. Figueiredo |
Adaptive Sparseness for Supervised Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 25(9), pp. 1150-1159, 2003. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
classification, feature selection, regression, Supervised learning, kernel methods, sparseness, expectation-maximization algorithm |
39 | Jennifer G. Dy, Carla E. Brodley, Avinash C. Kak, Lynn S. Broderick, Alex M. Aisen |
Unsupervised Feature Selection Applied to Content-Based Retrieval of Lung Images. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 25(3), pp. 373-378, 2003. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
clustering, feature selection, Image retrieval, unsupervised learning, expectation-maximization |
39 | Bin Zhang 0004 |
Comparison of the Performance of Center-Based Clustering Algorithms. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PAKDD ![In: Advances in Knowledge Discovery and Data Mining, 7th Pacific-Asia Conference, PAKDD 2003, Seoul, Korea, April 30 - May 2, 2003, Proceedings, pp. 63-74, 2003, Springer, 3-540-04760-3. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
K-Harmonic Means, Data Mining, Clustering, K-means, Expectation- Maximization |
39 | Mário A. T. Figueiredo, Anil K. Jain 0001 |
Unsupervised Learning of Finite Mixture Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 24(3), pp. 381-396, 2002. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
minimum message length criterion, clustering, unsupervised learning, model selection, Bayesian methods, expectation-maximization algorithm, finite mixtures |
39 | Canasai Kruengkrai, Chuleerat Jaruskulchai |
A parallel learning algorithm for text classification. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KDD ![In: Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, July 23-26, 2002, Edmonton, Alberta, Canada, pp. 201-206, 2002, ACM, 1-58113-567-X. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
parallel expectation-maximization (EM) algorithm, text classification, cluster computing, naive Bayes |
39 | Xintao Wu, Jianping Fan 0001, Kalpathi R. Subramanian |
B-EM: a classifier incorporating bootstrap with EM approach for data mining. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KDD ![In: Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, July 23-26, 2002, Edmonton, Alberta, Canada, pp. 670-675, 2002, ACM, 1-58113-567-X. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
supervised and unsupervised learning, classification, expectation maximization, bootstrap method |
39 | Jiangwen Deng, Hung-Tat Tsui |
A PCA/MDA Scheme for Hand Posture Recognition. ![Search on Bibsonomy](Pics/bibsonomy.png) |
FGR ![In: 5th IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2002), with CD-ROM, 20-21 May 2002, Washington, D.C., USA, pp. 294-299, 2002, IEEE Computer Society, 0-7695-1602-5. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
hand posture recognition, PCA/MDA, Expectation Maximization |
39 | Bin Zhang 0004, Meichun Hsu, George Forman |
Accurate Recasting of Parameter Estimation Algorithms Using Sufficient Statistics for Efficient Parallel Speed-Up: Demonstrated for Center-Based Data Clustering Algorithms. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PKDD ![In: Principles of Data Mining and Knowledge Discovery, 4th European Conference, PKDD 2000, Lyon, France, September 13-16, 2000, Proceedings, pp. 243-254, 2000, Springer, 3-540-41066-X. The full citation details ...](Pics/full.jpeg) |
2000 |
DBLP DOI BibTeX RDF |
K-Harmonic Means, Scale-up, Data Mining, Parallel Algorithms, K-Means, Expectation-Maximization, Data Clustering, Speed-up, Sufficient Statistics |
39 | 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 |
39 | Andreas Polzer, Hansjörg Klock, Joachim M. Buhmann |
Video coding by region-based motion compensation and spatio-temporal wavelet transform. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIP (3) ![In: Proceedings 1997 International Conference on Image Processing, ICIP '97, Santa Barbara, California, USA, October 26-29, 1997, pp. 436-439, 1997, IEEE Computer Society, 0-8186-8183-7. The full citation details ...](Pics/full.jpeg) |
1997 |
DBLP DOI BibTeX RDF |
region-based motion compensation, spatio-temporal wavelet transform, low bit-rate video compression, region-based motion estimation, wavelet transform coding, motion segmentation module, mean field techniques, parameter estimation, video coding, video coding, EM algorithm, maximum likelihood estimation, expectation-maximization algorithm |
39 | Rajesh P. N. Rao |
Dynamic Appearance-Based Recognition. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CVPR ![In: 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), June 17-19, 1997, San Juan, Puerto Rico, pp. 540-546, 1997, IEEE Computer Society, 0-8186-7822-4. The full citation details ...](Pics/full.jpeg) |
1997 |
DBLP DOI BibTeX RDF |
Learning, Principal Component Analysis (PCA), Object Recognition, Prediction, Kalman Filters, Hierarchies, Minimum Description Length (MDL), Expectation-Maximization Algorithm |
39 | Nuno Vasconcelos, Andrew Lippman |
Empirical Bayesian EM-based Motion Segmentation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CVPR ![In: 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), June 17-19, 1997, San Juan, Puerto Rico, pp. 527-532, 1997, IEEE Computer Society, 0-8186-7822-4. The full citation details ...](Pics/full.jpeg) |
1997 |
DBLP DOI BibTeX RDF |
Learning in Vision, Segmentation, Expectation-Maximization, Image sequence analysis, Bayesian Learning |
39 | Chieh-Min Fan, Nader M. Namazi, Pablo B. Penafiel |
A New Image Motion Estimation Algorithm Based on the EM Technique. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 18(3), pp. 348-352, 1996. The full citation details ...](Pics/full.jpeg) |
1996 |
DBLP DOI BibTeX RDF |
the maximum likelihood (ML) principle, the expectation-maximization (EM) algorithm, affine motion, additive white Gaussian noise, Kalman filtering, Image motion estimation |
39 | 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 |
39 | 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 |
39 | 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 |
39 | Chung-Ming Chen, Soo-Young Lee |
On Parallelizing the EM Algorithm for PET Image Reconstruction. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Parallel Distributed Syst. ![In: IEEE Trans. Parallel Distributed Syst. 5(8), pp. 860-873, 1994. The full citation details ...](Pics/full.jpeg) |
1994 |
DBLP DOI BibTeX RDF |
radioisotope scanning and imaging, PET image reconstruction, memory space, homogeneous partitioning, inhomogeneous partitioning, communication/computation overlap, inherent data access pattern, multiple-ring communication pattern, achievable performance estimation, performance degradation factors, efficiency prediction formulas, integration algorithms, n-dimensional mesh topology, link setup time, performance evaluation, parallel algorithms, parallelization, optimisation, image reconstruction, iterative methods, iterative methods, EM algorithm, computation time, positron emission tomography, expectation maximization algorithm, broadcasting algorithms, ring topology, hypercube topology |
38 | Zhenhua Li, Henry Leung |
An Expectation Maximization Based Simultaneous Registration and Fusion Algorithm for Radar Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CCECE ![In: Proceedings of the Canadian Conference on Electrical and Computer Engineering, CCECE 2006, May 7-10, 2006, Ottawa Congress Centre, Ottawa, Canada, pp. 31-35, 2006, IEEE, 1-4244-0038-4. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
35 | Wael Abd-Almageed, Aly I. El-Osery, Christopher E. Smith |
Estimating time-varying densities using a stochastic learning automaton. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Soft Comput. ![In: Soft Comput. 10(11), pp. 1007-1020, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
35 | Jian Zhou 0001, Huazhong Shu, Limin Luo, Hongqing Zhu |
A New Fuzzy Penalized Likelihood Method for PET Image Reconstruction. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CIS ![In: Computational and Information Science, First International Symposium, CIS 2004, Shanghai, China, December 16-18, 2004, Proceedings, pp. 550-555, 2004, Springer, 3-540-24127-2. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
|
35 | Zhihua Zhang, James T. Kwok, Dit-Yan Yeung |
Surrogate maximization/minimization algorithms and extensions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Mach. Learn. ![In: Mach. Learn. 69(1), pp. 1-33, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Surrogate function, Logistic regression, AdaBoost, Convexity, Log-linear model |
32 | Fatih Saglam, Tuba Sanli, Mehmet Ali Cengiz, Yuksel Terzi |
Alternative expectation approaches for expectation-maximization missing data imputations in cox regression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Commun. Stat. Simul. Comput. ![In: Commun. Stat. Simul. Comput. 52(12), pp. 5966-5974, December 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
32 | Qiuyun Zou, Haochuan Zhang, Hongwen Yang |
Expectation-Maximization-Aided Hybrid Generalized Expectation Consistent for Sparse Signal Reconstruction. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Signal Process. Lett. ![In: IEEE Signal Process. Lett. 28, pp. 648-652, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
32 | Qiuyun Zou, Haochuan Zhang, Hongwen Yang |
Expectation-Maximization-Aided Hybrid Generalized Expectation Consistent for Sparse Signal Reconstruction. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2103.01833, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
32 | Lei Zhang 0146, Xiangming Meng, Lei Wang 0160, Yan Chen 0010 |
Joint User Activity and Data Detection for NOMA via the Integrated Framework of Expectation Maximization and Expectation Propagation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SPAWC ![In: 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019, Cannes, France, July 2-5, 2019, pp. 1-5, 2019, IEEE, 978-1-5386-6528-2. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
32 | Wei Xiong, Hin-Shun Chung, Jiaya Jia |
Fractional Stereo Matching Using Expectation-Maximization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 31(3), pp. 428-443, 2009. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
32 | N. S. L. Phani Kumar, Sanjiv Satoor, Ian Buck |
Fast Parallel Expectation Maximization for Gaussian Mixture Models on GPUs Using CUDA. ![Search on Bibsonomy](Pics/bibsonomy.png) |
HPCC ![In: 11th IEEE International Conference on High Performance Computing and Communications, HPCC 2009, 25-27 June 2009, Seoul, Korea, pp. 103-109, 2009, IEEE, 978-0-7695-3738-2. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
32 | Hyohoon Choi, Alan C. Bovik, Kenneth R. Castleman |
Feature Normalization via Expectation Maximization and Unsupervised Nonparametric Classification For M-FISH Chromosome Images. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Medical Imaging ![In: IEEE Trans. Medical Imaging 27(8), pp. 1107-1119, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
32 | Tianqi Wang, Cheng Li 0005, Hsiao-Hwa Chen |
An Iterative Expectation-Maximization Algorithm Based Joint Estimation Approach for CDMA/OFDM Composite Radios. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Wirel. Commun. ![In: IEEE Trans. Wirel. Commun. 7(8), pp. 3196-3205, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
32 | Kenneth E. Hild II, Hagai Thomas Attias, Srikantan S. Nagarajan |
An Expectation-Maximization Method for Spatio-Temporal Blind Source Separation Using an AR-MOG Source Model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Neural Networks ![In: IEEE Trans. Neural Networks 19(3), pp. 508-519, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
32 | Haihua Feng, William Clement Karl, David A. Castañón |
Unified Anomaly Suppression and Boundary Extraction in Laser Radar Range Imagery based on a Joint Curve-Evolution and Expectation-Maximization Algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Image Process. ![In: IEEE Trans. Image Process. 17(5), pp. 757-766, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
32 | Yao-Chung Lin, David P. Varodayan, Torsten Fink, Erwin B. Bellers, Bernd Girod |
Localization of tampering in contrast and brightness adjusted images using distributed source coding and expectation maximization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIP ![In: Proceedings of the International Conference on Image Processing, ICIP 2008, October 12-15, 2008, San Diego, California, USA, pp. 2204-2207, 2008, IEEE, 978-1-4244-1765-0. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
32 | Gijs Dubbelman, Wannes van der Mark, Frans C. A. Groen |
Accurate and robust ego-motion estimation using expectation maximization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IROS ![In: 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, September 22-26, 2008, Acropolis Convention Center, Nice, France, pp. 3914-3920, 2008, IEEE, 978-1-4244-2057-5. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
32 | Bing Leung Patrick Cheung, Barry D. Van Veen |
Estimation of cortical multivariate autoregressive models for EEG/MEG using an expectation-maximization algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISBI ![In: Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Paris, France, May 14-17, 2008, pp. 1235-1238, 2008, IEEE, 978-1-4244-2003-2. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
32 | Jesmin F. Khan, Reza R. Adhami, Sharif M. A. Bhuiyan |
Unsupervised image segmentation utilizing penalized inverse expectation maximization algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICASSP ![In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2008, March 30 - April 4, 2008, Caesars Palace, Las Vegas, Nevada, USA, pp. 937-940, 2008, IEEE, 1-4244-1484-9. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
32 | Pedro A. Forero, Alfonso Cano, Georgios B. Giannakis |
Consensus-based distributed expectation-maximization algorithm for density estimation and classification using wireless sensor networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICASSP ![In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2008, March 30 - April 4, 2008, Caesars Palace, Las Vegas, Nevada, USA, pp. 1989-1992, 2008, IEEE, 1-4244-1484-9. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
32 | Han Zhao 0001, Xinxin Liu 0006, Xiaolin Li 0001 |
DLBEM: Dynamic load balancing using expectation-maximization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IPDPS ![In: 22nd IEEE International Symposium on Parallel and Distributed Processing, IPDPS 2008, Miami, Florida USA, April 14-18, 2008, pp. 1-7, 2008, IEEE. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
32 | Hemant D. Tagare, Frederick Sigworth, Andrew Barthel |
Fast, Adaptive Expectation-Maximization Alignment for Cryo-EM. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MICCAI (2) ![In: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008, 11th International Conference, New York, NY, USA, September 6-10, 2008, Proceedings, Part II, pp. 855-862, 2008, Springer, 978-3-540-85989-5. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
32 | Farideh Fazayeli, Lipo Wang, Jacek Mandziuk |
Feature Selection Based on the Rough Set Theory and Expectation-Maximization Clustering Algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
RSCTC ![In: Rough Sets and Current Trends in Computing, 6th International Conference, RSCTC 2008, Akron, OH, USA, October 23-25, 2008, Proceedings, pp. 272-282, 2008, Springer, 978-3-540-88423-1. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
32 | Tianming Hu, Hui Xiong 0001, Xueqing Gong, Sam Yuan Sung |
ANEMI: An Adaptive Neighborhood Expectation-Maximization Algorithm with Spatial Augmented Initialization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PAKDD ![In: Advances in Knowledge Discovery and Data Mining, 12th Pacific-Asia Conference, PAKDD 2008, Osaka, Japan, May 20-23, 2008 Proceedings, pp. 160-171, 2008, Springer, 978-3-540-68124-3. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
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