Search results for "Expectation-Maximization"

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.	IWANN (1)	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.	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
71	Hongtu Zhu, Minggao Gu, Bradley S. Peterson	Maximum likelihood from spatial random effects models via the stochastic approximation expectation maximization algorithm.	Stat. Comput.	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).	RSKT	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.	SSPR/SPR	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.	MoMM	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.	GECCO	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.	IEEE Trans. Pattern Anal. Mach. Intell.	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.	ICIP (3)	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.	CVPR	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.	IEEE Trans. Image Process.	2006	DBLP DOI BibTeX RDF
51	Rui Li 0083, Bir Bhanu, Anlei Dong	Feature synthesized EM algorithm for image retrieval.	ACM Trans. Multim. Comput. Commun. Appl.	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.	ICNC (2)	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.	ECML	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.	SETN	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.	IEEE Trans. Knowl. Data Eng.	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.	ACM Multimedia	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.	ISNN (1)	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.	PAKDD	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.	CAIP	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.	IEEE Trans. Pattern Anal. Mach. Intell.	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.	IEEE Trans. Commun.	2005	DBLP DOI BibTeX RDF
47	Tai-Pang Wu, Chi-Keung Tang	Photometric Stereo via Expectation Maximization.	IEEE Trans. Pattern Anal. Mach. Intell.	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.	HIS	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.	IEEE Trans. Pattern Anal. Mach. Intell.	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.	Neural Process. Lett.	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.	IEEE Trans. Pattern Anal. Mach. Intell.	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.	IEEE Trans. Image Process.	2008	DBLP DOI BibTeX RDF
44	Daan Wierstra, Tom Schaul, Jan Peters 0001, Jürgen Schmidhuber	Fitness Expectation Maximization.	PPSN	2008	DBLP DOI BibTeX RDF
44	Hadi Zayyani, Massoud Babaie-Zadeh, Christian Jutten	Decoding real-field codes by an iterative Expectation-Maximization (EM) algorithm.	ICASSP	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.	CVPR (2)	2005	DBLP DOI BibTeX RDF
39	Chengpeng Bi	A Monte Carlo EM Algorithm for De Novo Motif Discovery in Biomolecular Sequences.	IEEE ACM Trans. Comput. Biol. Bioinform.	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.	IEEE/ACM Trans. Netw.	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.	Complex (2)	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.	PRIB	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.	Canadian AI	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.	Canadian AI	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.	GECCO	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.	CP	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.	iiWAS	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.	ADMA	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.	Multim. Tools Appl.	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.	World Congress on Engineering (Selected Papers)	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.	BMEI (2)	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.	IEEE Trans. Pattern Anal. Mach. Intell.	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.	Softw. Qual. J.	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.	DILS	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.	ISBRA	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.	PAKDD	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.	J. Intell. Inf. Syst.	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.	IEEE Trans. Knowl. Data Eng.	2006	DBLP DOI BibTeX RDF	Maximum weighted likelihood, weight design, extended expectation-maximization algorithm, model selection
39	Roberto Manduchi	Learning Outdoor Color Classification.	IEEE Trans. Pattern Anal. Mach. Intell.	2006	DBLP DOI BibTeX RDF	classification, expectation maximization, Color constancy
39	Richard Nock, Frank Nielsen	On Weighting Clustering.	IEEE Trans. Pattern Anal. Mach. Intell.	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.	Inf. Syst. Frontiers	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.	PKDD	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.	Pattern Anal. Appl.	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.	IEEE Trans. Pattern Anal. Mach. Intell.	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.	ACM Multimedia	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.	MICCAI (1)	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.	CW	2004	DBLP DOI BibTeX RDF	3D object segmentation, Scale-space, Expectation-Maximization algorithm
39	Mário A. T. Figueiredo	Adaptive Sparseness for Supervised Learning.	IEEE Trans. Pattern Anal. Mach. Intell.	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.	IEEE Trans. Pattern Anal. Mach. Intell.	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.	PAKDD	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.	IEEE Trans. Pattern Anal. Mach. Intell.	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.	KDD	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.	KDD	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.	FGR	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.	PKDD	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.	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
39	Andreas Polzer, Hansjörg Klock, Joachim M. Buhmann	Video coding by region-based motion compensation and spatio-temporal wavelet transform.	ICIP (3)	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.	CVPR	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.	CVPR	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.	IEEE Trans. Pattern Anal. Mach. Intell.	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.	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
39	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
39	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
39	Chung-Ming Chen, Soo-Young Lee	On Parallelizing the EM Algorithm for PET Image Reconstruction.	IEEE Trans. Parallel Distributed Syst.	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.	CCECE	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.	Soft Comput.	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.	CIS	2004	DBLP DOI BibTeX RDF
35	Zhihua Zhang, James T. Kwok, Dit-Yan Yeung	Surrogate maximization/minimization algorithms and extensions.	Mach. Learn.	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.	Commun. Stat. Simul. Comput.	2023	DBLP DOI BibTeX RDF
32	Qiuyun Zou, Haochuan Zhang, Hongwen Yang	Expectation-Maximization-Aided Hybrid Generalized Expectation Consistent for Sparse Signal Reconstruction.	IEEE Signal Process. Lett.	2021	DBLP DOI BibTeX RDF
32	Qiuyun Zou, Haochuan Zhang, Hongwen Yang	Expectation-Maximization-Aided Hybrid Generalized Expectation Consistent for Sparse Signal Reconstruction.	CoRR	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.	SPAWC	2019	DBLP DOI BibTeX RDF
32	Wei Xiong, Hin-Shun Chung, Jiaya Jia	Fractional Stereo Matching Using Expectation-Maximization.	IEEE Trans. Pattern Anal. Mach. Intell.	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.	HPCC	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.	IEEE Trans. Medical Imaging	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.	IEEE Trans. Wirel. Commun.	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.	IEEE Trans. Neural Networks	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.	IEEE Trans. Image Process.	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.	ICIP	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.	IROS	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.	ISBI	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.	ICASSP	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.	ICASSP	2008	DBLP DOI BibTeX RDF
32	Han Zhao 0001, Xinxin Liu 0006, Xiaolin Li 0001	DLBEM: Dynamic load balancing using expectation-maximization.	IPDPS	2008	DBLP DOI BibTeX RDF
32	Hemant D. Tagare, Frederick Sigworth, Andrew Barthel	Fast, Adaptive Expectation-Maximization Alignment for Cryo-EM.	MICCAI (2)	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.	RSCTC	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.	PAKDD	2008	DBLP DOI BibTeX RDF