Search results for "Maximum-likelihood"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
84	Serge Ayer, Harpreet S. Sawhney	Layered Representation of Motion Video Using Robust Maximum-Likelihood Estimation of Mixture Models and MDL Encoding.	ICCV	1995	DBLP DOI BibTeX RDF	motion video, robust maximum-likelihood estimation, spatial support, motion video sequences, dynamic image understanding, motion estimation, image sequences, encoding, encoding, mixture models, maximum likelihood estimation, maximum likelihood estimation, minimum description length, layered representation
77	Jesse Bennett, Alireza Khotanzad	A Maximum Likelihood Estimation Method for Multispectral Autoregressive Image Models.	ICIP (2)	1997	DBLP DOI BibTeX RDF	multispectral autoregressive image models, random field image models, multispectral simultaneous autoregressive model, natural texture samples, image segmentation, experiments, parameter estimation, maximum likelihood estimation, maximum likelihood estimation, color images, Gaussian distribution
70	G. D. Rayner, Helen L. MacGillivray	Numerical maximum likelihood estimation for the g-and-k and generalized g-and-h distributions.	Stat. Comput.	2002	DBLP DOI BibTeX RDF	maximum likelihood estimation (MLE), quantile distributions, g-and-k distribution, generalized g-and-h distribution, numerical maximum likelihood estimation (NMLE)
68	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
60	Benny Chor, Tamir Tuller	Finding a maximum likelihood tree is hard.	J. ACM	2006	DBLP DOI BibTeX RDF	approximate vertex cover, tree reconstruction, Maximum likelihood, maximum parsimony, intractability
57	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
57	Zhenyu Zhou, Richard M. Leahy	Approximate maximum likelihood hyperparameter estimation for Gibbs priors.	ICIP	1995	DBLP DOI BibTeX RDF	approximate maximum likelihood hyperparameter estimation, Gibbs priors, MAP image estimate, mean field approximation technique, multidimensional Gibbs distributions, one dimensional densities, Gibbs-Bogoliubov-Feynman bound, optimization, image reconstruction, image reconstruction, image restoration, maximum likelihood estimation
56	JiaDong Zhang, Kun Yue, Weiyi Liu	Learning and Inferences of the Bayesian Network with Maximum Likelihood Parameters.	ADMA	2008	DBLP DOI BibTeX RDF	Maximum likelihood hypothesis, Sigmoid, Support vector machine, Bayesian network, Inference
55	Alexandre Renaux, Philippe Forster, Eric Boyer, Pascal Larzabal	Unconditional Maximum Likelihood Performance at Finite Number of Samples and High Signal-to-Noise Ratio.	IEEE Trans. Signal Process.	2007	DBLP DOI BibTeX RDF
55	Nicu Sebe, Michael S. Lew	Maximum Likelihood Stereo Matching.	ICPR	2000	DBLP DOI BibTeX RDF
54	Doron Blatt, Alfred O. Hero III	Asymptotic Characterization of Log-Likelihood Maximization Based Algorithms and Applications.	EMMCVPR	2003	DBLP DOI BibTeX RDF	clustering, sensor networks, data fusion, mixture models, Maximum likelihood
53	Francesca Mariani, Graziella Pacelli, Francesco Zirilli	Maximum likelihood estimation of the Heston stochastic volatility model using asset and option prices: an application of nonlinear filtering theory.	Optim. Lett.	2008	DBLP DOI BibTeX RDF
53	Alexandros Stamatakis, Thomas Ludwig 0002, Harald Meier	A fast program for maximum likelihood-based inference of large phylogenetic trees.	SAC	2004	DBLP DOI BibTeX RDF	parallel & distributed computing, maximum likelihood, phylogenetic inference
53	Serkan Hosten, Amit Khetan, Bernd Sturmfels	Solving the Likelihood Equations.	Found. Comput. Math.	2005	DBLP DOI BibTeX RDF	Maximum likelihood degree, Syzygies, Maximum likelihood, Phylogenetic trees
51	Zoltan Kato, Josiane Zerubia, Marc Berthod	Unsupervised Parallel Image Classificiation Using a Hierarchical Markovian Model.	ICCV	1995	DBLP DOI BibTeX RDF	unsupervised parallel image classification, hierarchical Markovian model, segmentation problem, hidden label field parameters, observable image, iterative conditional estimation, estimation-maximization algorithm, tentative labeling, Connection Machine CM200, comparative tests, noisy synthetic images, noisy real images, computer vision, image segmentation, parallel processing, Markov random fields, Markov processes, iterative methods, image classification, remote sensing, remote sensing, maximum likelihood estimation, maximum likelihood estimate, random processes, hierarchical systems, maximum a posteriori estimate, model parameters
49	Adam M. Johansen, Arnaud Doucet, Manuel Davy	Particle methods for maximum likelihood estimation in latent variable models.	Stat. Comput.	2008	DBLP DOI BibTeX RDF	Simulated annealing, Markov chain Monte Carlo, Maximum likelihood, Sequential Monte Carlo, Latent variable models
49	Ard Oerlemans, Bart Thomee	Interactive Feedback for Video Tracking Using a Hybrid Maximum Likelihood Similarity Measure.	ICCV-HCI	2007	DBLP DOI BibTeX RDF	hybrid maximum likelihood similarity, relevance feedback, video analysis, object tracking, motion detection, Visual similarity
49	Victor K. Y. Chan, W. Eric Wong	Optimizing and Simplifying Software Metric Models Constructed Using Maximum Likelihood Methods.	COMPSAC (1)	2005	DBLP DOI BibTeX RDF	modeling, software metrics, maximum likelihood method
49	Murray Aitkin, Roberto Rocci	A general maximum likelihood analysis of measurement error in generalized linear models.	Stat. Comput.	2002	DBLP DOI BibTeX RDF	random effects GLM, nonparametric maximum likelihood, EM algorithm, mixture model, measurement error, Gaussian quadrature
49	Craig A. Stewart, David Hart, Donald K. Berry, Gary J. Olsen, Eric A. Wernert, William Fischer 0002	Parallel implementation and performance of fastDNAml: a program for maximum likelihood phylogenetic inference.	SC	2001	DBLP DOI BibTeX RDF	scalability, bioinformatics, maximum likelihood, parallel applications, phylogenetics
49	U. A. Al-Suwailem, J. Keller	Multichannel Image Identification and Restoration Using Continuous Spatial Domain Modeling.	ICIP (2)	1997	DBLP DOI BibTeX RDF	multichannel image identification, continuous spatial domain modeling, cross-spectral components, spatial components, noisy color images, uniform linear motion, out-of-focus blur, performance, image processing, maximum likelihood estimation, maximum likelihood estimation, restoration, autoregressive model, blur
49	Claude Thibeault	A novel probabilistic approach for IC diagnosis based on differential quiescent current signatures.	VTS	1997	DBLP DOI BibTeX RDF	IC diagnosis, probabilistic differential quiescent current signature, noise source, embedded logic, robustness, maximum likelihood estimation, maximum likelihood estimation, IDDQ testing, subthreshold leakage current
49	Lance R. Williams, David W. Jacobs	Stochastic Completion Fields: A Neural Model of Illusory Contour Shape and Salience.	ICCV	1995	DBLP DOI BibTeX RDF	stochastic completion fields, illusory contour shape, boundary completion shape, mammalian visual cortex, boundary fragments, vector-field convolutions, maximum likelihood paths, curves of least energy, illusory contours, illusory contour stimuli, computational geometry, probability, edge detection, image recognition, random walk, computer model, lattice, neural nets, maximum likelihood estimation, probability distribution, neural model, image plane
49	Baback Moghaddam, Alex Pentland	Probabilistic Visual Learning for Object Detection.	ICCV	1995	DBLP DOI BibTeX RDF	probabilistic visual learning, unsupervised visual learning, eigenspace decomposition, multivariate Gaussian, automatic object recognition, nonrigid objects, object recognition, unsupervised learning, object detection, maximum likelihood estimation, maximum-likelihood estimation, visual search, density estimation, target detection, high-dimensional spaces, human faces, probability densities, training data
49	Fernand S. Cohen, Georgia Georgiou	Detecting and estimating structure regularity of soft tissue organs from ultrasound images.	ICIP	1995	DBLP DOI BibTeX RDF	ultrasonic scattering, structure regularity estimation, structure regularity detection, soft tissue organs, scatterer spacing, regularly-spaced resolvable coherent scatterers, tissue structure classification, cirrhotic liver, normal liver, diffuse liver disease, Wold decomposition, RF field, coherent components, diffused components, minimum mean square error estimates, parameter estimation, maximum likelihood estimation, maximum likelihood estimates, medical image processing, ultrasound images, liver, biomedical ultrasonics
49	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
49	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
49	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
49	Timothy J. Schulz	Coherent array imaging with sparse arrays.	ICIP	1995	DBLP DOI BibTeX RDF	antenna phased arrays, sparse arrays, coherent array imaging, phased-array imaging systems, Fourier inversion, coherent imaging system, image processing, maximum likelihood estimation, maximum-likelihood estimation, missing data, incomplete data, array signal processing, aperture
49	Benjamin W. Wah, Arthur Ieumwananonthachai, Shu Yao, Ting Yu	Statistical generalization: theory and applications.	ICCD	1995	DBLP DOI BibTeX RDF	statistical generalization, multiple statistical distributions, probability of win, problem solving, maximum likelihood estimation, maximum likelihood estimate, Bayes methods, heuristic programming, interval analysis, heuristic methods, Bayesian analysis, blind equalization, branch-and-bound search
49	Shyh-shiaw Kuo, Oscar E. Agazzi	Keyword Spotting in Poorly Printed Documents using Pseudo 2-D Hidden Markov Models.	IEEE Trans. Pattern Anal. Mach. Intell.	1994	DBLP DOI BibTeX RDF	poorly printed documents, pseudo 2-D hidden Markov models, robust machine recognition, maximum likelihood decision, testing, dynamic programming, dynamic programming, hidden Markov models, optical character recognition, statistical models, statistical models, document image processing, maximum likelihood estimation, decision theory, training sets, elastic matching, recognition accuracy, keyword spotting
49	Scott A. Vander Wiel, Lawrence G. Votta	Assessing Software Designs Using Capture-Recapture Methods.	IEEE Trans. Software Eng.	1993	DBLP DOI BibTeX RDF	capture-recapture methods, wildlife population estimation, broken assumptions, jackknife estimators, software quality, software reliability, statistical analysis, software designs, maximum likelihood estimators, maximum likelihood estimation, Monte Carlo simulation, software quality assurance, statistical estimation, design reviews
49	Maqbool Patel, Fernand S. Cohen	Local Surface Shape Estimation of 3-D Textured Surfaces using Gaussian Markov Random Fields and Stereo Windows.	IEEE Trans. Pattern Anal. Mach. Intell.	1993	DBLP DOI BibTeX RDF	local surface shape estimation, 3-D textured surfaces, stereo windows, single 2-D image, perceived systematic deformations, stationary Gaussian Markov random field, surface shape parameter estimation, maximum likelihood estimation problem, Markov processes, maximum likelihood estimation, stereo image processing, developable surfaces, MLE, planar surfaces, camera geometry, probability distribution function, Gaussian Markov random fields
48	Venkatesan Guruswami, Alexander Vardy	Maximum-likelihood decoding of Reed-Solomon codes is NP-hard.	IEEE Trans. Inf. Theory	2005	DBLP DOI BibTeX RDF
48	Venkatesan Guruswami, Alexander Vardy	Maximum-likelihood decoding of Reed-Solomon codes is NP-hard.	SODA	2005	DBLP BibTeX RDF
47	Erik Lindström	Estimating parameters in diffusion processes using an approximate maximum likelihood approach.	Ann. Oper. Res.	2007	DBLP DOI BibTeX RDF	Approximate likelihood function, Durham-Gallant estimator, Crank-Nicholson scheme, Cox-Ingersoll-Ross model, Non-linear CKLS model
47	Eugène-Patrice Ndong Nguéma, Guillaume Saint-Pierre	Model-based classification with dissimilarities: a maximum likelihood approach.	Pattern Anal. Appl.	2008	DBLP DOI BibTeX RDF	Dissimilarity data, Model-based classifier, Intrinsic data dimension, Success classification rate, Maximum likelihood estimate, Multidimensional scaling
47	Gregory C. Sharp, Sang Wook Lee, David K. Wehe	Maximum-Likelihood Registration of Range Images with Missing Data.	IEEE Trans. Pattern Anal. Mach. Intell.	2008	DBLP DOI BibTeX RDF	Registration, Maximum Likelihood, Range data, Pixel classification
47	Leon Poladian	A GA for maximum likelihood phylogenetic inference using neighbour-joining as a genotype to phenotype mapping.	GECCO	2005	DBLP DOI BibTeX RDF	genotype to phenotype mapping, neighbour joining, genetic algorithms, maximum likelihood, phylogenetic inference
45	Desta Tadesse, R. Iris Bahar, Joel Grodstein	Fast Measurement of the "Non-Deterministic Zone" in Microprocessor Debug Using Maximum Likelihood Estimation.	VTS	2008	DBLP DOI BibTeX RDF	Microprocessor Diagnosis, Pass/Fail Region, Maximum Likelihood Estimation, Silicon Debug
43	Wolfgang Jank	Efficient simulated maximum likelihood with an application to online retailing.	Stat. Comput.	2006	DBLP DOI BibTeX RDF	Laplace approximation, Halton sequence, Geostatistical model, Importance sampling, Spatial data, Low-discrepancy sequence, Quasi-Monte Carlo
43	Yi Sun	Local Maximum Likelihood Multiuser Detection for CDMA Communications.	ITCC	2001	DBLP DOI BibTeX RDF
42	Dahae Chong, Junhwan Kim, Seung Goo Kang, Seokho Yoon	Novel UWB synchronization schemes based on the maximum likelihood criterion.	IWCMC	2010	DBLP DOI BibTeX RDF	suboptimal, optimal, synchronization, maximum likelihood, UWB
42	Michifumi Yoshioka, Sigeru Omatu 0001	Camera Calibration Method Based on Maximum Likelihood Estimation.	IWANN (2)	2009	DBLP DOI BibTeX RDF	Camera calibration, Maximum likelihood estimation, 3D measurements
42	Patrick Loiseau, Paulo Gonçalves 0001, Stéphane Girard, Florence Forbes, Pascale Vicat-Blanc Primet	Maximum likelihood estimation of the flow size distribution tail index from sampled packet data.	SIGMETRICS/Performance	2009	DBLP DOI BibTeX RDF	maximum likelihood estimation, network monitoring, traffic measurement, heavy-tailed distribution, expectation-maximization algorithm, packet sampling
42	José M. Bioucas-Dias, Vladimir Katkovnik, Jaakko Astola, Karen O. Egiazarian	Multi-frequency Phase Unwrapping from Noisy Data: Adaptive Local Maximum Likelihood Approach.	SCIA	2009	DBLP DOI BibTeX RDF	Interferometric imaging, phase unwrapping, local maximum-likelihood, diversity, adaptive filtering
42	Mohamad M. Tawfick, Hazem M. Abbas, Hussein I. Shahein	Evolutionary maximum likelihood image compression.	GECCO	2009	DBLP DOI BibTeX RDF	clustering, evolutionary algorithms, image compression, maximum likelihood
42	Koohyar Minoo, Truong Q. Nguyen	Maximum Likelihood Rate Estimation: With Applications in Image and Video Compression.	DCC	2008	DBLP DOI BibTeX RDF	video coding, Image coding, Maximum Likelihood, Rate-Distortion optimization, Rate estimation
42	Marija Mitrovic, Bosiljka Tadic	Search of Weighted Subgraphs on Complex Networks with Maximum Likelihood Methods.	ICCS (2)	2008	DBLP DOI BibTeX RDF	modular networks, subgraphs, maximum likelihood method
42	Michael Ott 0001, Jaroslaw Zola, Alexandros Stamatakis, Srinivas Aluru	Large-scale maximum likelihood-based phylogenetic analysis on the IBM BlueGene/L.	SC	2007	DBLP DOI BibTeX RDF	IBM BlueGene/L, RAxML, maximum likelihood, phylogenetic inference
42	Ismail Ben Ayed, Amar Mitiche, Ziad Belhadj	Polarimetric Image Segmentation via Maximum-Likelihood Approximation and Efficient Multiphase Level-Sets.	IEEE Trans. Pattern Anal. Mach. Intell.	2006	DBLP DOI BibTeX RDF	Polarimetric images, complex Wishart distribution, complex Gaussian distribution, level set active contour segmentation, maximum-likelihood approximation
42	Gergely Korodi, Ioan Tabus	An efficient normalized maximum likelihood algorithm for DNA sequence compression.	ACM Trans. Inf. Syst.	2005	DBLP DOI BibTeX RDF	Approximate sequence matching, DNA compression, normalized maximum likelihood model
42	Gad Kimmel, Ron Shamir	Maximum likelihood resolution of multi-block genotypes.	RECOMB	2004	DBLP DOI BibTeX RDF	disease association, genotype phasing, haplotype resolution, algorithm, maximum likelihood, SNP, haplotype, haplotyping, genotype, haplotype block
42	Clark F. Olson	Maximum-Likelihood Image Matching.	IEEE Trans. Pattern Anal. Mach. Intell.	2002	DBLP DOI BibTeX RDF	tracking, Image matching, maximum-likelihood estimation, stereo
42	Joaquín Míguez, Luis Castedo	Maximum Likelihood Unsupervised Source Separation in Gaussian Noise.	J. VLSI Signal Process.	2002	DBLP DOI BibTeX RDF	multiple-input multiple-output channel estimation, EM algorithm, Monte Carlo methods, maximum likelihood, blind source separation
42	Bogdan Matei, Peter Meer	Reduction of Bias in Maximum Likelihood Ellipse Fitting.	ICPR	2000	DBLP DOI BibTeX RDF	errors-in-variables models, heteroscedastic noise, maximum likelihood estimation, bootstrap, confidence regions
42	Hoda El-Sayed, Marc Salit, John Travis, Judith Ellen Devaney, William L. George	Parallel Maximum-Likelihood Inversion for Estimating Wavenumber-Ordered Spectra in Emission Spectroscopy.	IPDPS	2000	DBLP DOI BibTeX RDF	emission spectroscopy, maximum-likelihood inversion, DParLib, performance evaluation, parallel processing, MPI, cosine transform
42	S. K. Acharya	On normal approximation for maximum likelihood estimation from single server queues.	Queueing Syst. Theory Appl.	1999	DBLP DOI BibTeX RDF	asymptotic inference, asymptotic normality, maximum likelihood estimator, single server queues, exponential families, GI/G/1 queue
42	Jesse Bennett, Alireza Khotanzad	Maximum Likelihood Estimation Methods for Multispectral Random Field Image Models.	IEEE Trans. Pattern Anal. Mach. Intell.	1999	DBLP DOI BibTeX RDF	multispectral image models, color texture models, multispectral random fields, multispectral autoregressive models, multispectral Markov models, Maximum likelihood estimation
42	A. N. Rajagopalan 0001, Subhasis Chaudhuri	Performance Analysis of Maximum Likelihood Estimator for Recovery of Depth from Defocused Images and Optimal Selection of Camera Parameters.	Int. J. Comput. Vis.	1998	DBLP DOI BibTeX RDF	Gaussian blur, blur identification, auto-regressive process, optimality criterion, log-likelihood function, maximum likelihood estimator, depth from defocus, Cramer-Rao bound
42	Antonio Colmenarez, Thomas S. Huang	Maximum Likelihood Face Detection.	FG	1996	DBLP DOI BibTeX RDF	Face Detection, Maximum likelihood, Maximum Entropy
42	Jeff Leuschner, Shahram Yousefi	On the ML decoding of quasi-orthogonal space-time block codes via sphere decoding and exhaustive search.	IWCMC	2007	DBLP DOI BibTeX RDF	maximum-likelihood decoding, maximum-likelihood metric, quasi-orthogonal space-time block codes, sphere decoding
42	Youngjo Lee 0001, John A. Nelder	Fitting via alternative random-effect models.	Stat. Comput.	2006	DBLP DOI BibTeX RDF	Correlated random effects, Restricted-maximum likelihood, Hierarchical generalized linear models, Maximum-likelihood estimator, Random effect models
41	Daniel K. C. So, Roger S. Cheng	Layered maximum likelihood detection for MIMO systems in frequency selective fading channels.	IEEE Trans. Wirel. Commun.	2006	DBLP DOI BibTeX RDF
41	Xiaojuan Feng, Christopher K. I. Williams, Stephen N. Felderhof	Combining Belief Networks and Neural Networks for Scene Segmentation.	IEEE Trans. Pattern Anal. Mach. Intell.	2002	DBLP DOI BibTeX RDF	tree-structured belief network (TSBN), scaled-likelihood method, conditional maximum-likelihood training, neural network, Markov random field (MRF), Gaussian mixture model, hierarchical modeling, expectation-maximization (EM)
41	Hlaing Minn, Poramate Tarasak	Improved maximum likelihood frequency offset estimation based on likelihood metric design.	IEEE Trans. Signal Process.	2006	DBLP DOI BibTeX RDF
40	Dirk Ormoneit, Volker Tresp	Averaging, maximum penalized likelihood and Bayesian estimation for improving Gaussian mixture probability density estimates.	IEEE Trans. Neural Networks	1998	DBLP DOI BibTeX RDF
38	O. S. Sands, Frederick D. Garber	Pattern Representations and Syntactic Classification of Radar Measurements of Commercial Aircraft.	IEEE Trans. Pattern Anal. Mach. Intell.	1990	DBLP DOI BibTeX RDF	radar measurements, commercial aircraft, radar signal identification, symbolic pattern representations, maximum-likelihood classifier, symbol strings, language-theoretic classifiers, radar measurement, artificial intelligence, computerised pattern recognition, computerised pattern recognition, syntactic pattern recognition, decision algorithm
38	Bruno Cernuschi-Frías, David B. Cooper, Yi-Ping Hung, Peter N. Belhumeur	Toward a Model-Based Bayesian Theory for Estimating and Recognizing Parameterized 3-D Objects Using Two or More Images Taken from Different Positions.	IEEE Trans. Pattern Anal. Mach. Intell.	1989	DBLP DOI BibTeX RDF	3D object surface recognition, pattern recognition, pattern recognition, picturing processing, picture processing, parameter estimation, parameter estimation, statistical analysis, maximum likelihood estimation, Bayes methods, parametric modeling, statistical estimation, Bayesian theory
37	Eran Halperin, Elad Hazan	HAPLOFREQ - Estimating Haplotype Frequencies E.ciently.	RECOMB	2005	DBLP DOI BibTeX RDF
36	Mathew M. Noel, Parag P. Joshi, Thomas C. Jannett	Improved Maximum Likelihood Estimation of Target Position in Wireless Sensor Networks using Particle Swarm Optimization.	ITNG	2006	DBLP DOI BibTeX RDF
36	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
36	Tobias Glasmachers, Christian Igel	Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters.	IEEE Trans. Pattern Anal. Mach. Intell.	2010	DBLP DOI BibTeX RDF	Support vector machines, regularization, model selection, maximum likelihood
36	Hazem M. Abbas	Mixed-coded evolutionary algorithm for Gaussian mixture maximum likelihood clustering with model selection.	GECCO	2010	DBLP DOI BibTeX RDF	clustering, evolutionary algorithms, maximum likelihood
36	Peter J. Green, Desmond P. Taylor	FPGA Implementation of a Real Time Maximum Likelihood Space-Time Decoder on a MIMO Software Radio Test Platform.	DELTA	2010	DBLP DOI BibTeX RDF	Alamouti, maximum likelihood decoder, software radio test platform, FPGA, MIMO, real-time implementation
36	Mikalai Kisialiou, Zhi-Quan Luo	Maximum Likelihood Detection via Semidefinite Programming.	Encyclopedia of Optimization	2009	DBLP DOI BibTeX RDF	Multiple-input multiple-output systems, Semidefinite relaxation, Multiuser detection, Maximum-likelihood detection
36	Hiroyuki Okamura, Tadashi Dohi	Faster Maximum Likelihood Estimation Algorithms for Markovian Arrival Processes.	QEST	2009	DBLP DOI BibTeX RDF	continuous hidden Markov model, EM algorithm, Maximum likelihood estimation, Markovian arrival process
36	Benny Chor, Amit Khetan, Sagi Snir	Maximum likelihood on four taxa phylogenetic trees: analytic solutions.	RECOMB	2003	DBLP DOI BibTeX RDF	2-state model, Hadamard conjugation, molecular clock, symbolic algebra, constrained optimization, maximum likelihood, phylogenetic trees, saturation, Groebner bases
36	Hiroyuki Okamura, Yasuhiro Watanabe, Tadashi Dohi	An Iterative Scheme for Maximum Likelihood Estimation in Software Reliability Modeling.	ISSRE	2003	DBLP DOI BibTeX RDF	EM algorithm, maximum likelihood estimation, software reliability model, non-homogeneous Poisson process
36	Ross T. Whitaker, Jens Gregor	A Maximum-Likelihood Surface Estimator for Dense Range Data.	IEEE Trans. Pattern Anal. Mach. Intell.	2002	DBLP DOI BibTeX RDF	3D range data, ladar, parameter estimation, calibration, surface reconstruction, registration, maximum-likelihood, surface fitting, Bayesian estimation, optimal estimation, Surface estimation
36	José Allen Lima, Agostinho C. Rosa	Maximum likelihood based classification for the microstructure of human sleep.	SAC	1998	DBLP DOI BibTeX RDF	EEG model, sleep EEG, maximum likelihood estimator, CAPS, microstructure
36	Madhu Sudan 0001	Maximum Likelihood Decoding of Reed Solomon Codes.	FOCS	1996	DBLP DOI BibTeX RDF	bit level soft decision decoding algorithm, low complexity code, coset properties, maximum likelihood decoding algorithm, soft output estimates, AWGN channel, BPSK signalling, Reed-Solomon codes, Reed Solomon codes, Galois field, SNR
36	Patrick Bouthemy	A Maximum Likelihood Framework for Determining Moving Edges.	IEEE Trans. Pattern Anal. Mach. Intell.	1989	DBLP DOI BibTeX RDF	maximum likelihood framework, moving edges, 3-D spatiotemporal space, occlusion contours, displacement magnitude, information extraction, picture processing, picture processing, hypothesis testing, surface patch, spatiotemporal segmentation
35	Nir Friedman, Matan Ninio, Itsik Pe'er, Tal Pupko	A structural EM algorithm for phylogenetic inference.	RECOMB	2001	DBLP DOI BibTeX RDF
35	Amos O. Olagunju	In search of heuristics for keyword detection (abstract only): my source of discontent.	ACM Conference on Computer Science	1987	DBLP DOI BibTeX RDF
35	Kenneth Sundberg, Timothy O'Connor, Hyrum Carroll, Mark J. Clement, Quinn Snell	Using Parsimony to Guide Maximum Likelihood Searches.	BIBE	2007	DBLP DOI BibTeX RDF
35	John M. M. Anderson, R. Srinivasan, Bernard Anthony Mair, John R. Votaw	Accelerated penalized weighted least-squares and maximum likelihood algorithms for reconstructing transmission images from PET transmission data.	IEEE Trans. Medical Imaging	2005	DBLP DOI BibTeX RDF
35	Benny Chor, Tamir Tuller	Maximum Likelihood of Evolutionary Trees Is Hard.	RECOMB	2005	DBLP DOI BibTeX RDF
35	Victor K. Y. Chan	Software Effort Prediction Models Using Maximum Likelihood Methods Require Multivariate Normality of the Software Metrics Data Sample: Can Such a Sample Be Made Multivariate Normal?	COMPSAC	2004	DBLP DOI BibTeX RDF
35	Louigi Addario-Berry, Benny Chor, Michael T. Hallett, Jens Lagergren, Alessandro Panconesi, Todd Wareham	Ancestral Maximum Likelihood of Evolutionary Trees Is Hard.	WABI	2003	DBLP DOI BibTeX RDF
34	Panagiotis Besbeas, Byron J. T. Morgan	Improved estimation of the stable laws.	Stat. Comput.	2008	DBLP DOI BibTeX RDF	Arithmetic spacing, Bounded influence, Efficiency comparison, First zero, k-L method, Koutrouvelis method, Testing for stability, Transform variable selection, Robustness, Maximum-likelihood, Goodness-of-fit
34	Kazuya Shibata, Koichiro Rinsaka, Tadashi Dohi, Hiroyuki Okamura	Quantifying Software Maintainability Based on a Fault-Detection/Correction Model.	PRDC	2007	DBLP DOI BibTeX RDF	fault correction process, Mt/M/ queueing model, software reliability, maximum likelihood estimation
34	Alain Biem	Minimum Classification Error Training for Online Handwriting Recognition.	IEEE Trans. Pattern Anal. Mach. Intell.	2006	DBLP DOI BibTeX RDF	Minimum classification error, dynamic programming, hidden Markov model, finite state machine, handwriting recognition, maximum likelihood, discriminative training
34	Felix A. Taubin	Asymptotic Performance Analysis of a TCM System over Fading Multiple-Access Channel.	NEW2AN	2006	DBLP DOI BibTeX RDF	Trellis coded modulation, multiple-access transmission, maximum likelihood decoding, other-users interference, bit-error rate, fading channels
34	Werner Schindler, Kerstin Lemke, Christof Paar	A Stochastic Model for Differential Side Channel Cryptanalysis.	CHES	2005	DBLP DOI BibTeX RDF	Differential Side Channel Cryptanalysis, Minimum Principle, Maximum Likelihood Principle, Stochastic Model, DPA, Power Analysis, DEMA, Template Attack, Electromagnetic Analysis
34	Reza Hoseinnezhad, Behzad Moshiri, Mohammad Reza Asharif	Improved Pose Estimation for Mobile Robots by Fusion of Odometry Data and Environment Map.	J. Intell. Robotic Syst.	2003	DBLP DOI BibTeX RDF	dead reckoning calibration, pose estimation, maximum likelihood, map building, sensor data fusion, occupancy grids
34	Dorin Comaniciu	Bayesian Kernel Tracking.	DAGM-Symposium	2002	DBLP DOI BibTeX RDF	Maximum Likelihood Parameter Estimation, Joint Domain Density, Appearance Change, Real-Time Tracking
34	Lothar Hermes, Thomas Zöller, Joachim M. Buhmann	Parametric Distributional Clustering for Image Segmentation.	ECCV (3)	2002	DBLP DOI BibTeX RDF	Clustering, Image Segmentation, Information Theory, Maximum Likelihood
34	Michael S. Lew, Nicu Sebe, Thomas S. Huang	Improving Visual Matching.	CVPR	2000	DBLP DOI BibTeX RDF	visual matching, real noise distribution, content based retrieval, stereo, maximum likelihood, visual information retrieval, robust methods
34	Arnon Amir, Michael Lindenbaum	A Generic Grouping Algorithm and Its Quantitative Analysis.	IEEE Trans. Pattern Anal. Mach. Intell.	1998	DBLP DOI BibTeX RDF	grouping analysis, Wald's SPRT, generic grouping algorithm, performance prediction, maximum likelihood, Perceptual grouping, graph clustering