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Found 1911 publication records. Showing 1911 according to the selection in the facets
Hits ? Authors Title Venue Year Link Author keywords
83Romina Torres, Rodrigo Salas 0001, Héctor Allende, Claudio Moraga Robust Expectation Maximization Learning Algorithm for Mixture of Experts. Search on Bibsonomy IWANN (1) The full citation details ... 2003 DBLP  DOI  BibTeX  RDF Robust Learning Algorithm, Expectation Maximization, Modular Neural Networks, Mixtures of Experts
79Timothy J. Schulz A Fast Algorithm for Maximum-Likelihood Imaging with Coherent Speckle Measurements. Search on Bibsonomy ICIP (1) The full citation details ... 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
71Hongtu Zhu, Minggao Gu, Bradley S. Peterson Maximum likelihood from spatial random effects models via the stochastic approximation expectation maximization algorithm. Search on Bibsonomy Stat. Comput. The full citation details ... 2007 DBLP  DOI  BibTeX  RDF Spatial random effects models, Markov random fields, Markov chain Monte Carlo, Expectation maximization, Stochastic approximation
71Yu Zhang, Zhidong Deng, Hongshan Jiang, Peifa Jia Gene Regulatory Network Construction Using Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM). Search on Bibsonomy RSKT The full citation details ... 2006 DBLP  DOI  BibTeX  RDF structural expectation maximization, microarray, dynamic Bayesian network, gene regulatory network
63Christophe Saint-Jean, Carl Frélicot, B. Vachon Clustering with EM: Complex Models vs. Robust Estimation. Search on Bibsonomy SSPR/SPR The full citation details ... 2000 DBLP  DOI  BibTeX  RDF Clustering, Robustness, Expectation-Maximization, M-estimation
59Prashant 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 MoMM The full citation details ... 2009 DBLP  DOI  BibTeX  RDF GMM-CP, seamless connectivity, signal strength prediction, threshold signal strength, Markov model, Gaussian mixture model, expectation maximization
59Bart Gajderowicz, Alireza Sadeghian, Marcus V. dos Santos Expectation maximization enhancement with evolutionstrategy for stochastic ontology mapping. Search on Bibsonomy GECCO The full citation details ... 2009 DBLP  DOI  BibTeX  RDF heuristics, self-adaptation, expectation maximization, ontology mapping, stochastic algorithm
59Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratnam TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models. Search on Bibsonomy IEEE Trans. Pattern Anal. Mach. Intell. The full citation details ... 2008 DBLP  DOI  BibTeX  RDF stability regions, unsupervised learning, dynamical systems, expectation maximization, model-based clustering, finite mixture models
59Ahmad Abu-Naser, Nikolas P. Galatsanos, Miles N. Wernick Impulse restoration-based template-matching using the expectation-maximization algorithm. Search on Bibsonomy ICIP (3) The full citation details ... 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
59Henry A. Rowley, James M. Rehg Analyzing Articulated Motion Using Expectation-Maximization. Search on Bibsonomy CVPR The full citation details ... 1997 DBLP  DOI  BibTeX  RDF Segmentation and grouping, Expectation-Maximization, Image sequence analysis, Articulated motion
55Andrea Baraldi 0001, Lorenzo Bruzzone, Palma Blonda A multiscale expectation-maximization semisupervised classifier suitable for badly posed image classification. Search on Bibsonomy IEEE Trans. Image Process. The full citation details ... 2006 DBLP  DOI  BibTeX  RDF
51Rui Li 0083, Bir Bhanu, Anlei Dong Feature synthesized EM algorithm for image retrieval. Search on Bibsonomy ACM Trans. Multim. Comput. Commun. Appl. The full citation details ... 2008 DBLP  DOI  BibTeX  RDF Coevolutionary feature synthesis, content-based image retrieval, semi-supervised learning, expectation maximization
51Shiqiang Hu, Guo-Zhuang Liang, Zhongliang Jing Robust Object Tracking Algorithm in Natural Environments. Search on Bibsonomy ICNC (2) The full citation details ... 2006 DBLP  DOI  BibTeX  RDF adaptive appearance model, particle filter, visual tracking, Expectation Maximization algorithm
51Jérôme Callut, Pierre Dupont Sequence Discrimination Using Phase-Type Distributions. Search on Bibsonomy ECML The full citation details ... 2006 DBLP  DOI  BibTeX  RDF Supervised sequence classification, Markov chains, Expectation-Maximization, First passage times, Jensen-Shannon divergence
51Konstantinos Blekas A Mixture Model Based Markov Random Field for Discovering Patterns in Sequences. Search on Bibsonomy SETN The full citation details ... 2006 DBLP  DOI  BibTeX  RDF Pattern discovering, mixture of multinomials model, Markov random field, Expectation-Maximization (EM) algorithm
51Yiu-ming Cheung Maximum Weighted Likelihood via Rival Penalized EM for Density Mixture Clustering with Automatic Model Selection. Search on Bibsonomy IEEE Trans. Knowl. Data Eng. The full citation details ... 2005 DBLP  DOI  BibTeX  RDF Maximum weighted likelihood, rival penalized Expectation-Maximization algorithm, generalized rival penalization controlled competitive learning, cluster number, stochastic implementation
51Rui Li 0083, Bir Bhanu, Anlei Dong Coevolutionary feature synthesized EM algorithm for image retrieval. Search on Bibsonomy ACM Multimedia The full citation details ... 2005 DBLP  DOI  BibTeX  RDF coevolutionary feature synthesis, genetic programming, content-based image retrieval, semi-supervised learning, expectation maximization algorithm
51Minghu 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 ISNN (1) The full citation details ... 2004 DBLP  DOI  BibTeX  RDF maximum-likelihood (ML), radial basis function (RBF), Gaussian mixture model (GMM), expectation-maximization (EM)
51Kwong H. Yung Using Self-Consistent Naive-Bayes to Detect Masquerades. Search on Bibsonomy PAKDD The full citation details ... 2004 DBLP  DOI  BibTeX  RDF self-consistent naive-Bayes, intrusion detection, anomaly detection, expectation-maximization algorithm, semisupervised learning, masquerade detection
51Abdullah A. Al-Shaher, Edwin R. Hancock Arabic Character Recognition Using Structural Shape Decomposition. Search on Bibsonomy CAIP The full citation details ... 2003 DBLP  DOI  BibTeX  RDF hierarchical mixture of experts, Arabic scripts, expectation maximization algorithm, point distribution models, discrete relaxation
51Andrew D. Wilson, Aaron F. Bobick Parametric Hidden Markov Models for Gesture Recognition. Search on Bibsonomy IEEE Trans. Pattern Anal. Mach. Intell. The full citation details ... 1999 DBLP  DOI  BibTeX  RDF computer vision, hidden Markov models, Gesture recognition, expectation-maximization algorithm, time-series modeling
50Hoang Nguyen, Bernard C. Levy The expectation-maximization Viterbi algorithm for blind adaptive channel equalization. Search on Bibsonomy IEEE Trans. Commun. The full citation details ... 2005 DBLP  DOI  BibTeX  RDF
47Tai-Pang Wu, Chi-Keung Tang Photometric Stereo via Expectation Maximization. Search on Bibsonomy IEEE Trans. Pattern Anal. Mach. Intell. The full citation details ... 2010 DBLP  DOI  BibTeX  RDF albedo and visible surface reconstruction, normal, expectation maximization, Photometric stereo
47Cristina 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 HIS The full citation details ... 2008 DBLP  DOI  BibTeX  RDF Classification of Gene expression Patterns, K-means, Microarray, Gene Expression, Expectation Maximization
47Chad Carson, Serge J. Belongie, Hayit Greenspan, Jitendra Malik Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying. Search on Bibsonomy IEEE Trans. Pattern Anal. Mach. Intell. The full citation details ... 2002 DBLP  DOI  BibTeX  RDF Segmentation and grouping, clustering, image retrieval, Expectation-Maximization, image querying
45Haixian Wang, Zilan Hu On EM Estimation for Mixture of Multivariate t-Distributions. Search on Bibsonomy Neural Process. Lett. The full citation details ... 2009 DBLP  DOI  BibTeX  RDF Mixture of multivariate t-distributions, Robust modelling, Missing data, Expectation maximization (EM) algorithm
45Ben North, Andrew Blake 0001, Michael Isard, Jens Rittscher Learning and Classification of Complex Dynamics. Search on Bibsonomy IEEE Trans. Pattern Anal. Mach. Intell. The full citation details ... 2000 DBLP  DOI  BibTeX  RDF learning dynamics, Auto-Regressive Process, Computer vision, Expectation Maximization
44Hunsop Hong, Dan Schonfeld Maximum-Entropy Expectation-Maximization Algorithm for Image Reconstruction and Sensor Field Estimation. Search on Bibsonomy IEEE Trans. Image Process. The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
44Daan Wierstra, Tom Schaul, Jan Peters 0001, Jürgen Schmidhuber Fitness Expectation Maximization. Search on Bibsonomy PPSN The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
44Hadi Zayyani, Massoud Babaie-Zadeh, Christian Jutten Decoding real-field codes by an iterative Expectation-Maximization (EM) algorithm. Search on Bibsonomy ICASSP The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
44Daniel J. Blezek, W. Thomas Dixon, Paritosh J. Dhawale Single Image Phase-Based MRI Fat Suppression Expectation Maximization Algorithm. Search on Bibsonomy CVPR (2) The full citation details ... 2005 DBLP  DOI  BibTeX  RDF
39Chengpeng Bi A Monte Carlo EM Algorithm for De Novo Motif Discovery in Biomolecular Sequences. Search on Bibsonomy IEEE ACM Trans. Comput. Biol. Bioinform. The full citation details ... 2009 DBLP  DOI  BibTeX  RDF Monte Carlo EM, multiple sequence alignment, motif discovery, transcriptional regulation, Expectation maximization (EM)
39Hiroyuki Okamura, Tadashi Dohi, Kishor S. Trivedi Markovian arrival process parameter estimation with group data. Search on Bibsonomy IEEE/ACM Trans. Netw. The full citation details ... 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
39Yi-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 Complex (2) The full citation details ... 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
39Grégory Nuel Counting Patterns in Degenerated Sequences. Search on Bibsonomy PRIB The full citation details ... 2009 DBLP  DOI  BibTeX  RDF Expectation-Maximization algorithmn, Markov chain embedding, Deterministic Finite state Automaton, Forward-Backward algorithm
39Daniel Pomerantz, Gregory Dudek Context Dependent Movie Recommendations Using a Hierarchical Bayesian Model. Search on Bibsonomy Canadian AI The full citation details ... 2009 DBLP  DOI  BibTeX  RDF recommender system, context, Expectation Maximization, content-based, hierarchical Bayesian model
39Hassan Khosravi, Recep Colak Exploratory Analysis of Co-Change Graphs for Code Refactoring. Search on Bibsonomy Canadian AI The full citation details ... 2009 DBLP  DOI  BibTeX  RDF Clustering, Expectation Maximization, Software artifacts
39Pei Fang Guo, Prabir Bhattacharya An evolutionary approach to feature function generation in application to biomedical image patterns. Search on Bibsonomy GECCO The full citation details ... 2009 DBLP  DOI  BibTeX  RDF gaussian mixture estimation, the expectation maximization algorithm, artificial intelligence, genetic programming, texture analysis, hybrid evolutionary algorithm, feature generation
39Ronan LeBras, Alessandro Zanarini, Gilles Pesant Efficient Generic Search Heuristics within the EMBP Framework. Search on Bibsonomy CP The full citation details ... 2009 DBLP  DOI  BibTeX  RDF Constraint Satisfaction, Expectation Maximization, Probabilistic Reasoning, Belief Propagation, Search Heuristics
39Elhadi M. Shakshuki, Xinyu Xing, Tarek R. Sheltami An intelligent agent for fault reconnaissance in sensor networks. Search on Bibsonomy iiWAS The full citation details ... 2009 DBLP  DOI  BibTeX  RDF wireless sensor networks, management, intelligent agents, expectation maximization algorithm
39Tianming Hu, Ji Ouyang, Chao Qu, Chuanren Liu Initialization of the Neighborhood EM Algorithm for Spatial Clustering. Search on Bibsonomy ADMA The full citation details ... 2009 DBLP  DOI  BibTeX  RDF Neighborhood Expectation-Maximization, Initialization, Spatial Clustering
39Dongfeng Han, Wenhui Li 0002, Zongcheng Li Semantic image classification using statistical local spatial relations model. Search on Bibsonomy Multim. Tools Appl. The full citation details ... 2008 DBLP  DOI  BibTeX  RDF Statistical local spatial relations model, Variational expectation maximization, Invariant local regions, Graph model, Semantic image classification
39Khalid S. Alzimami, Salem A. Sassi, Nicholas M. Spyrou A Comparison Between 3D OSEM and FBP Image Reconstruction Algorithms in SPECT. Search on Bibsonomy World Congress on Engineering (Selected Papers) The full citation details ... 2008 DBLP  DOI  BibTeX  RDF Filtered Back Projection, ordered-subsets expectation maximization, image attenuation, Image Reconstruction, Single Photon Emission Computed Tomography
39Hau-Lee Tong, Mohammad Faizal Ahmad Fauzi, Ryoichi Komiya Segmentation of CT Head Images. Search on Bibsonomy BMEI (2) The full citation details ... 2008 DBLP  DOI  BibTeX  RDF Image segmentation, Medical images, Expectation-maximization
39Gustavo Carneiro 0001, Antoni B. Chan, Pedro J. Moreno 0001, Nuno Vasconcelos Supervised Learning of Semantic Classes for Image Annotation and Retrieval. Search on Bibsonomy IEEE Trans. Pattern Anal. Mach. Intell. The full citation details ... 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
39Naeem Seliya, Taghi M. Khoshgoftaar Software quality estimation with limited fault data: a semi-supervised learning perspective. Search on Bibsonomy Softw. Qual. J. The full citation details ... 2007 DBLP  DOI  BibTeX  RDF Software quality estimation, Software metrics, Semi-supervised learning, Expectation maximization, Unlabeled data
39Yu 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 DILS The full citation details ... 2007 DBLP  DOI  BibTeX  RDF structural Expectation Maximization, transcription factor binding location data, dynamic Bayesian network, gene regulatory networks, microarray data
39Chengpeng Bi Multiple Sequence Local Alignment Using Monte Carlo EM Algorithm. Search on Bibsonomy ISBRA The full citation details ... 2007 DBLP  DOI  BibTeX  RDF Monte Carlo EM, Multiple Sequence Local Alignment, Motif Discovery, Transcriptional Regulation, Expectation Maximization (EM)
39Limin Xu, Zhenmin Tang, Keke He, Bo Qian 0004 Transformation-Based GMM with Improved Cluster Algorithm for Speaker Identification. Search on Bibsonomy PAKDD The full citation details ... 2007 DBLP  DOI  BibTeX  RDF Improved cluster algorithm, Gaussian mixture model (GMM), Linear transformation, Expectation-maximization (EM) algorithm
39Xintao Wu Incorporating large unlabeled data to enhance EM classification. Search on Bibsonomy J. Intell. Inf. Syst. The full citation details ... 2006 DBLP  DOI  BibTeX  RDF Classification, Bootstrap, Expectation maximization
39Zhenyue Zhang, Yiu-ming Cheung On Weight Design of Maximum Weighted Likelihood and an Extended EM Algorithm. Search on Bibsonomy IEEE Trans. Knowl. Data Eng. The full citation details ... 2006 DBLP  DOI  BibTeX  RDF Maximum weighted likelihood, weight design, extended expectation-maximization algorithm, model selection
39Roberto Manduchi Learning Outdoor Color Classification. Search on Bibsonomy IEEE Trans. Pattern Anal. Mach. Intell. The full citation details ... 2006 DBLP  DOI  BibTeX  RDF classification, expectation maximization, Color constancy
39Richard Nock, Frank Nielsen On Weighting Clustering. Search on Bibsonomy IEEE Trans. Pattern Anal. Mach. Intell. The full citation details ... 2006 DBLP  DOI  BibTeX  RDF khbox{-}rm means, fuzzy khbox{-}rm means, harmonic means clustering, Clustering, expectation maximization, Bregman divergences
39Jane 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 Inf. Syst. Frontiers The full citation details ... 2006 DBLP  DOI  BibTeX  RDF Distributed trust management, Probabilistic trust model, Personalized feedback rating, Expectation maximization, Reputation mechanism, Parameter learning
39Georgiana Ifrim, Gerhard Weikum Transductive Learning for Text Classification Using Explicit Knowledge Models. Search on Bibsonomy PKDD The full citation details ... 2006 DBLP  DOI  BibTeX  RDF expectation-maximization, transductive learning, latent models
39Tianming Hu, Sam Yuan Sung Clustering spatial data with a hybrid EM approach. Search on Bibsonomy Pattern Anal. Appl. The full citation details ... 2005 DBLP  DOI  BibTeX  RDF Spatial penalty term, Penalized likelihood, Gaussian mixture, Expectation maximization algorithm, Spatial clustering, Spatial autocorrelation
39Huidong Jin 0001, Man Leung Wong, Kwong-Sak Leung Scalable Model-Based Clustering for Large Databases Based on Data Summarization. Search on Bibsonomy IEEE Trans. Pattern Anal. Mach. Intell. The full citation details ... 2005 DBLP  DOI  BibTeX  RDF Scalable clustering, data summary, maximum penalized likelihood estimate, Gaussian mixture model, expectation-maximization
39Qiang 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 ACM Multimedia The full citation details ... 2004 DBLP  DOI  BibTeX  RDF objectionable image filtering, SVM, gaussian mixture model, expectation maximization, skin detection
39Ravi Bansal, Lawrence H. Staib, Bradley S. Peterson Correcting Nonuniformities in MRI Intensities Using Entropy Minimization Based on an Elastic Model. Search on Bibsonomy MICCAI (1) The full citation details ... 2004 DBLP  DOI  BibTeX  RDF Entropy, Partial Differential Equation, Expectation Maximization (EM), Elastic Deformation
39Hamid Laga, Hiroki Takahashi, Masayuki Nakajima 0001 Scale-Space Processing of Point-Sampled Geometry for Efficient 3D Object Segmentation. Search on Bibsonomy CW The full citation details ... 2004 DBLP  DOI  BibTeX  RDF 3D object segmentation, Scale-space, Expectation-Maximization algorithm
39Mário A. T. Figueiredo Adaptive Sparseness for Supervised Learning. Search on Bibsonomy IEEE Trans. Pattern Anal. Mach. Intell. The full citation details ... 2003 DBLP  DOI  BibTeX  RDF classification, feature selection, regression, Supervised learning, kernel methods, sparseness, expectation-maximization algorithm
39Jennifer 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 IEEE Trans. Pattern Anal. Mach. Intell. The full citation details ... 2003 DBLP  DOI  BibTeX  RDF clustering, feature selection, Image retrieval, unsupervised learning, expectation-maximization
39Bin Zhang 0004 Comparison of the Performance of Center-Based Clustering Algorithms. Search on Bibsonomy PAKDD The full citation details ... 2003 DBLP  DOI  BibTeX  RDF K-Harmonic Means, Data Mining, Clustering, K-means, Expectation- Maximization
39Mário A. T. Figueiredo, Anil K. Jain 0001 Unsupervised Learning of Finite Mixture Models. Search on Bibsonomy IEEE Trans. Pattern Anal. Mach. Intell. The full citation details ... 2002 DBLP  DOI  BibTeX  RDF minimum message length criterion, clustering, unsupervised learning, model selection, Bayesian methods, expectation-maximization algorithm, finite mixtures
39Canasai Kruengkrai, Chuleerat Jaruskulchai A parallel learning algorithm for text classification. Search on Bibsonomy KDD The full citation details ... 2002 DBLP  DOI  BibTeX  RDF parallel expectation-maximization (EM) algorithm, text classification, cluster computing, naive Bayes
39Xintao Wu, Jianping Fan 0001, Kalpathi R. Subramanian B-EM: a classifier incorporating bootstrap with EM approach for data mining. Search on Bibsonomy KDD The full citation details ... 2002 DBLP  DOI  BibTeX  RDF supervised and unsupervised learning, classification, expectation maximization, bootstrap method
39Jiangwen Deng, Hung-Tat Tsui A PCA/MDA Scheme for Hand Posture Recognition. Search on Bibsonomy FGR The full citation details ... 2002 DBLP  DOI  BibTeX  RDF hand posture recognition, PCA/MDA, Expectation Maximization
39Bin 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 PKDD The full citation details ... 2000 DBLP  DOI  BibTeX  RDF K-Harmonic Means, Scale-up, Data Mining, Parallel Algorithms, K-Means, Expectation-Maximization, Data Clustering, Speed-up, Sufficient Statistics
39Rómer Rosales, Stan Sclaroff Specialized Mappings and the Estimation of Human Body Pose from a Single Image. Search on Bibsonomy Workshop on Human Motion The full citation details ... 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
39Andreas Polzer, Hansjörg Klock, Joachim M. Buhmann Video coding by region-based motion compensation and spatio-temporal wavelet transform. Search on Bibsonomy ICIP (3) The full citation details ... 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
39Rajesh P. N. Rao Dynamic Appearance-Based Recognition. Search on Bibsonomy CVPR The full citation details ... 1997 DBLP  DOI  BibTeX  RDF Learning, Principal Component Analysis (PCA), Object Recognition, Prediction, Kalman Filters, Hierarchies, Minimum Description Length (MDL), Expectation-Maximization Algorithm
39Nuno Vasconcelos, Andrew Lippman Empirical Bayesian EM-based Motion Segmentation. Search on Bibsonomy CVPR The full citation details ... 1997 DBLP  DOI  BibTeX  RDF Learning in Vision, Segmentation, Expectation-Maximization, Image sequence analysis, Bayesian Learning
39Chieh-Min Fan, Nader M. Namazi, Pablo B. Penafiel A New Image Motion Estimation Algorithm Based on the EM Technique. Search on Bibsonomy IEEE Trans. Pattern Anal. Mach. Intell. The full citation details ... 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
39Chieh-Min Fan, Nader M. Namazi Estimation of image motion parameters using the EM algorithm. Search on Bibsonomy ICIP The full citation details ... 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
39Brian C. Tom, Aggelos K. Katsaggelos Reconstruction of a high-resolution image by simultaneous registration, restoration, and interpolation of low-resolution images. Search on Bibsonomy ICIP The full citation details ... 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
39Kristine E. Matthews, Nader M. Namazi Simultaneous motion parameter estimation and image segmentation using the EM algorithm. Search on Bibsonomy ICIP The full citation details ... 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
39Chung-Ming Chen, Soo-Young Lee On Parallelizing the EM Algorithm for PET Image Reconstruction. Search on Bibsonomy IEEE Trans. Parallel Distributed Syst. The full citation details ... 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
38Zhenhua Li, Henry Leung An Expectation Maximization Based Simultaneous Registration and Fusion Algorithm for Radar Networks. Search on Bibsonomy CCECE The full citation details ... 2006 DBLP  DOI  BibTeX  RDF
35Wael Abd-Almageed, Aly I. El-Osery, Christopher E. Smith Estimating time-varying densities using a stochastic learning automaton. Search on Bibsonomy Soft Comput. The full citation details ... 2006 DBLP  DOI  BibTeX  RDF
35Jian Zhou 0001, Huazhong Shu, Limin Luo, Hongqing Zhu A New Fuzzy Penalized Likelihood Method for PET Image Reconstruction. Search on Bibsonomy CIS The full citation details ... 2004 DBLP  DOI  BibTeX  RDF
35Zhihua Zhang, James T. Kwok, Dit-Yan Yeung Surrogate maximization/minimization algorithms and extensions. Search on Bibsonomy Mach. Learn. The full citation details ... 2007 DBLP  DOI  BibTeX  RDF Surrogate function, Logistic regression, AdaBoost, Convexity, Log-linear model
32Fatih Saglam, Tuba Sanli, Mehmet Ali Cengiz, Yuksel Terzi Alternative expectation approaches for expectation-maximization missing data imputations in cox regression. Search on Bibsonomy Commun. Stat. Simul. Comput. The full citation details ... 2023 DBLP  DOI  BibTeX  RDF
32Qiuyun Zou, Haochuan Zhang, Hongwen Yang Expectation-Maximization-Aided Hybrid Generalized Expectation Consistent for Sparse Signal Reconstruction. Search on Bibsonomy IEEE Signal Process. Lett. The full citation details ... 2021 DBLP  DOI  BibTeX  RDF
32Qiuyun Zou, Haochuan Zhang, Hongwen Yang Expectation-Maximization-Aided Hybrid Generalized Expectation Consistent for Sparse Signal Reconstruction. Search on Bibsonomy CoRR The full citation details ... 2021 DBLP  BibTeX  RDF
32Lei 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 SPAWC The full citation details ... 2019 DBLP  DOI  BibTeX  RDF
32Wei Xiong, Hin-Shun Chung, Jiaya Jia Fractional Stereo Matching Using Expectation-Maximization. Search on Bibsonomy IEEE Trans. Pattern Anal. Mach. Intell. The full citation details ... 2009 DBLP  DOI  BibTeX  RDF
32N. S. L. Phani Kumar, Sanjiv Satoor, Ian Buck Fast Parallel Expectation Maximization for Gaussian Mixture Models on GPUs Using CUDA. Search on Bibsonomy HPCC The full citation details ... 2009 DBLP  DOI  BibTeX  RDF
32Hyohoon Choi, Alan C. Bovik, Kenneth R. Castleman Feature Normalization via Expectation Maximization and Unsupervised Nonparametric Classification For M-FISH Chromosome Images. Search on Bibsonomy IEEE Trans. Medical Imaging The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
32Tianqi Wang, Cheng Li 0005, Hsiao-Hwa Chen An Iterative Expectation-Maximization Algorithm Based Joint Estimation Approach for CDMA/OFDM Composite Radios. Search on Bibsonomy IEEE Trans. Wirel. Commun. The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
32Kenneth 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 IEEE Trans. Neural Networks The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
32Haihua 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 IEEE Trans. Image Process. The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
32Yao-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 ICIP The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
32Gijs Dubbelman, Wannes van der Mark, Frans C. A. Groen Accurate and robust ego-motion estimation using expectation maximization. Search on Bibsonomy IROS The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
32Bing Leung Patrick Cheung, Barry D. Van Veen Estimation of cortical multivariate autoregressive models for EEG/MEG using an expectation-maximization algorithm. Search on Bibsonomy ISBI The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
32Jesmin F. Khan, Reza R. Adhami, Sharif M. A. Bhuiyan Unsupervised image segmentation utilizing penalized inverse expectation maximization algorithm. Search on Bibsonomy ICASSP The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
32Pedro 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 ICASSP The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
32Han Zhao 0001, Xinxin Liu 0006, Xiaolin Li 0001 DLBEM: Dynamic load balancing using expectation-maximization. Search on Bibsonomy IPDPS The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
32Hemant D. Tagare, Frederick Sigworth, Andrew Barthel Fast, Adaptive Expectation-Maximization Alignment for Cryo-EM. Search on Bibsonomy MICCAI (2) The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
32Farideh Fazayeli, Lipo Wang, Jacek Mandziuk Feature Selection Based on the Rough Set Theory and Expectation-Maximization Clustering Algorithm. Search on Bibsonomy RSCTC The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
32Tianming Hu, Hui Xiong 0001, Xueqing Gong, Sam Yuan Sung ANEMI: An Adaptive Neighborhood Expectation-Maximization Algorithm with Spatial Augmented Initialization. Search on Bibsonomy PAKDD The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
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