Search results for "em"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	Wei Li 0035, Paul M. Ruegger, James Borneman, Tao Jiang 0001	Polony Identification Using the EM Algorithm Based on a Gaussian Mixture Model.	BIBE	2010	DBLP DOI BibTeX RDF	polony identification, Gaussian Mixture Model, EM
1	Nizar Bouguila, Djemel Ziou, Riad I. Hammoud	On Bayesian analysis of a finite generalized Dirichlet mixture via a Metropolis-within-Gibbs sampling.	Pattern Anal. Appl.	2009	DBLP DOI BibTeX RDF	Generalized Dirichlet mixture, SVM, Images classification, EM, Gibbs sampling, Bayesian analysis, Metropolis-Hastings
1	Haideh M. Karkhanechi, Bernard C. Levy	An Efficient Adaptive Channel Estimation Algorithm for MIMO OFDM Systems - Study of Doppler Spread Tolerance.	J. Signal Process. Syst.	2009	DBLP DOI BibTeX RDF	Doppler, Adaptive, OFDM, EM, Multi user, Channel estimation, MIMO OFDM
1	Andrei Zaharescu, Radu Horaud	Robust Factorization Methods Using a Gaussian/Uniform Mixture Model.	Int. J. Comput. Vis.	2009	DBLP DOI BibTeX RDF	Robust factorization, Multiple camera calibration, Expectation-maximization, Data clustering, EM, M-estimators, 3-D reconstruction, Outlier rejection
1	Michael Volkhardt, Sören Kalesse, Steffen Müller 0001, Horst-Michael Gross	Maximum a Posteriori Estimation of Dynamically Changing Distributions.	KI	2009	DBLP DOI BibTeX RDF	EM, MAP, state estimation, Bayesian filter, factor graph, conjugate prior
1	Ranga Raju Vatsavai	Phenological event detection from multitemporal image data.	KDD Workshop on Knowledge Discovery from Sensor Data	2009	DBLP DOI BibTeX RDF	NDVI, clustering, remote sensing, GMM, EM, MODIS
1	Ranga Raju Vatsavai	Incremental Clustering Algorithm for Earth Science Data Mining.	ICCS (2)	2009	DBLP DOI BibTeX RDF	G-means, Clustering, Remote Sensing, K-means, GMM, EM
1	Matthieu Perrot, Denis Rivière, Alan Tucholka, Jean-François Mangin	Joint Bayesian Cortical Sulci Recognition and Spatial Normalization.	IPMI	2009	DBLP DOI BibTeX RDF	cortical folds labeling, sulci, SPAM, registration, EM
1	Jan Unkelbach, Yi Sun 0003, Jürgen Schmidhuber	An EM Based Training Algorithm for Recurrent Neural Networks.	ICANN (1)	2009	DBLP DOI BibTeX RDF	Particle Smoother, Recurrent neural networks, EM, Dynamical System identification
1	Daniel David Walker, Eric K. Ringger	Model-based document clustering with a collapsed gibbs sampler.	KDD	2008	DBLP DOI BibTeX RDF	collapsed samplers, practical guidelines, document clustering, mcmc, em, gibbs sampling
1	Seung-Hyun Nam, Sung-Ju Lee, Jae-Seon Yoon, Hyoung-Kyu Song	Em-based reduced complexity channel estimation for OFDM in mobile wireless system.	MOBIWAC	2008	DBLP DOI BibTeX RDF	ofdm, em, channel estimation, quasi-newton
1	Jianhua Zhao, Philip L. H. Yu, Qibao Jiang	ML estimation for factor analysis: EM or non-EM?	Stat. Comput.	2008	DBLP DOI BibTeX RDF	Maximum likelihood estimation, Factor analysis, EM, CM, ECME
1	Anupam Gupta 0001, Ziv Bar-Joseph	Extracting Dynamics from Static Cancer Expression Data.	IEEE ACM Trans. Comput. Biol. Bioinform.	2008	DBLP DOI BibTeX RDF	glioma, microarrays, EM, traveling salesman
1	Ranga Raju Vatsavai, Shashi Shekhar, Thomas E. Burk, Budhendra L. Bhaduri	*Miner: a spatial and spatiotemporal data mining system.	GIS	2008	DBLP DOI BibTeX RDF	multisource data, semi-supervised learning, GMM, EM
1	Ranga Raju Vatsavai, Shashi Shekhar, Budhendra L. Bhaduri	A Learning Scheme for Recognizing Sub-classes from Model Trained on Aggregate Classes.	SSPR/SPR	2008	DBLP DOI BibTeX RDF	Semi-supervised learning, Remote Sensing, GMM, EM
1	Xiaoyong Chai, Qiang Yang 0001	Reducing the Calibration Effort for Probabilistic Indoor Location Estimation.	IEEE Trans. Mob. Comput.	2007	DBLP DOI BibTeX RDF	802.11 signal strength, Hidden Markov Model, interpolation, EM, Bayesian methods, Location estimation
1	Allou Samé, Christophe Ambroise, Gérard Govaert	An online classification EM algorithm based on the mixture model.	Stat. Comput.	2007	DBLP DOI BibTeX RDF	CEM, Clustering, Mixture model, EM, Stochastic gradient, Exponential family
1	Marc Lavielle, Cristian Meza	A parameter expansion version of the SAEM algorithm.	Stat. Comput.	2007	DBLP DOI BibTeX RDF	PX-EM, SAEM, Nonlinear mixed effects models, EM
1	Nizar Bouguila, Djemel Ziou	High-Dimensional Unsupervised Selection and Estimation of a Finite Generalized Dirichlet Mixture Model Based on Minimum Message Length.	IEEE Trans. Pattern Anal. Mach. Intell.	2007	DBLP DOI BibTeX RDF	generalized Dirichlet mixture, LEC, image database summarization, webmining, information theory, data clustering, MDL, EM, Finite mixture models, MML, AIC
1	Ranga Raju Vatsavai, Budhendra L. Bhaduri	A Hybrid Classification Scheme for Mining Multisource Geospatial Data.	ICDM Workshops	2007	DBLP DOI BibTeX RDF	MLC, Semi-supervised Learning, EM
1	Rong Pan, Junhui Zhao, Vincent Wenchen Zheng, Jeffrey Junfeng Pan, Dou Shen, Sinno Jialin Pan, Qiang Yang 0001	Domain-constrained semi-supervised mining of tracking models in sensor networks.	KDD	2007	DBLP DOI BibTeX RDF	sensor networks, localization, tracking, calibration, EM, CRF
1	Hyun-Don Kim, Kazunori Komatani, Tetsuya Ogata, Hiroshi G. Okuno	Real-Time Auditory and Visual Talker Tracking Through Integrating EM Algorithm and Particle Filter.	IEA/AIE	2007	DBLP DOI BibTeX RDF	Talker Tracking, Lip movement detection, Human-Robot Interaction, Particle Filter, EM, Sound source localization
1	Nizar Bouguila, Djemel Ziou, Ernest Monga	Practical Bayesian estimation of a finite beta mixture through gibbs sampling and its applications.	Stat. Comput.	2006	DBLP DOI BibTeX RDF	Mixture modeling, Maximum likelihood, EM, SAR images, Gibbs sampling, Bayesian analysis, SEM, Beta distribution, Metropolis-Hastings
1	Nizar Bouguila, Djemel Ziou	Unsupervised Selection of a Finite Dirichlet Mixture Model: An MML-Based Approach.	IEEE Trans. Knowl. Data Eng.	2006	DBLP DOI BibTeX RDF	Dirichlet mixture, shadow modeling, texture summarization, EM, SAR images, Finite mixture models, MML
1	Xiaohua Hu 0001, Xiaodan Zhang, Xiaohua Zhou	Integration of cluster ensemble and EM based text mining for microarray gene cluster identification and annotation.	CIKM	2006	DBLP DOI BibTeX RDF	gene cluster annotation, gene cluster identification, text mining, summarization, EM, cluster ensemble
1	Longin Jan Latecki, Marc Sobel, Rolf Lakämper	New EM derived from Kullback-Leibler divergence.	KDD	2006	DBLP DOI BibTeX RDF	expectation maximization, EM, Kullback-Leibler divergence
1	Tao Tao, ChengXiang Zhai	Regularized estimation of mixture models for robust pseudo-relevance feedback.	SIGIR	2006	DBLP DOI BibTeX RDF	mixture model, regulation, EM, pseudo feedback
1	Roberto Santana 0001, Pedro Larrañaga, José Antonio Lozano 0001	Mixtures of Kikuchi Approximations.	ECML	2006	DBLP DOI BibTeX RDF	Mixture of distributions, Kikuchi approximations, estimation of distribution algorithms, EM
1	Zhihong Liu, Bruce McGaughy, James Z. Ma	Design tools for reliability analysis.	DAC	2006	DBLP DOI BibTeX RDF	design-in reliability, reliability simulation, HCI, EM, NBTI
1	Jing-Hua Guan, Dayou Liu, Si-Pei Liu	Discrete Particle Swarm Optimization and EM Hybrid Approach for Naive Bayes Clustering.	ICONIP (2)	2006	DBLP DOI BibTeX RDF	clustering, Naive Bayes, EM, PSO
1	Patrick Vannoorenberghe, Philippe Smets	Partially Supervised Learning by a Credal EM Approach.	ECSQARU	2005	DBLP DOI BibTeX RDF	Learning, EM, belief functions, transferable belief model
1	Kaushal Sanghai, Ting Su 0002, Jennifer G. Dy, David R. Kaeli	A multinomial clustering model for fast simulation of computer architecture designs.	KDD	2005	DBLP DOI BibTeX RDF	mixture of multinomials, simulation, clustering, k-means, EM, program phase
1	Ranga Raju Vatsavai, Shashi Shekhar, Thomas E. Burk	A Semi-Supervised Learning Method for Remote Sensing Data Mining.	ICTAI	2005	DBLP DOI BibTeX RDF	semi-supervised learning, GMM, EM, MAP, MLE
1	Leonardo Rigutini, Marco Maggini	A Semi-Supervised Document Clustering Algorithm Based on EM.	Web Intelligence	2005	DBLP DOI BibTeX RDF	Semi-supervised Document Clustering, EM, Information Gain
1	Benny Chor, Tamir Tuller	Adding Hidden Nodes to Gene Networks (Extended Abstract).	WABI	2004	DBLP DOI BibTeX RDF	network expansion, Bayesian networks, compression, maximum likelihood, minimum description length, EM, gene network
1	Lei Wang 0021, Li Liu, Latifur Khan	Automatic image annotation and retrieval using subspace clustering algorithm.	MMDB	2004	DBLP DOI BibTeX RDF	blob tokens, SVD, similarity, features, EM, subspace clustering
1	Darya Chudova, Scott Gaffney, Eric Mjolsness, Padhraic Smyth	Translation-invariant mixture models for curve clustering.	KDD	2003	DBLP DOI BibTeX RDF	curve clustering, transformation invariance, mixture model, alignment, EM
1	Sunita Sarawagi, Soumen Chakrabarti, Shantanu Godbole	Cross-training: learning probabilistic mappings between topics.	KDD	2003	DBLP DOI BibTeX RDF	semi-supervised multi-task learning, support vector machines, document classification, EM
1	Arindam Banerjee 0001, Inderjit S. Dhillon, Joydeep Ghosh, Suvrit Sra	Generative model-based clustering of directional data.	KDD	2003	DBLP DOI BibTeX RDF	directional data, von Mises-Fisher, clustering, EM, mixtures
1	Carlos Ordonez 0001, Edward Omiecinski	FREM: fast and robust EM clustering for large data sets.	CIKM	2002	DBLP DOI BibTeX RDF	data mining, clustering, EM
1	Wei-Min Jeng, Shou-Hsuan Stephen Huang	An Efficient Sparse Matrix Based Parallel Image Reconstruction Algorithm for PET on SP2.	CBMS	1999	DBLP DOI BibTeX RDF	SP2 and Sparse Matrix, EM, PET
1	Christoph Bregler	Learning and Recognizing Human Dynamics in Video Sequences.	CVPR	1997	DBLP DOI BibTeX RDF	Motion based Recognition, Learning, Tracking, Gesture Recognition, EM