Search results for "likelihood"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
12	Xuhui Tang, Yongbo Liu, Longjiang Zheng, Changbao Ma, Hui Wang	Leak Detection of Water Pipeline Using Wavelet Transform Method.	ESIAT (2)	2009	DBLP DOI BibTeX RDF	optimal maximum likelihood, wavelet transform, cross-correlation, leak detection
12	Chia-Hsin Cheng 0001, Guo-Jun Wen, Ling-Cheng Hsu, Yung-Fa Huang	Hyperbolic Tangent HNN Multiuser Detection in DS-UWB Systems.	HIS (3)	2009	DBLP DOI BibTeX RDF	Hopfield and hyperbolic tangent, Neural network, Maximum likelihood
12	V. Vijayaraghavan, Sanjoy Kumar Paul	iMeasure Security (iMS): A Novel Framework for Security Quantification.	NetCoM	2009	DBLP DOI BibTeX RDF	Business impact, Likelihood estimation, Security quantification, Attack graph
12	Gerhard Koekemoer, Jan W. H. Swanepoel	A semi-parametric method for transforming data to normality.	Stat. Comput.	2008	DBLP DOI BibTeX RDF	Profile likelihood, qq-Plots, Semi-parametric, Transformation, Normality
12	Kosuke Hashimoto, Kiyoko F. Aoki-Kinoshita, Nobuhisa Ueda, Minoru Kanehisa, Hiroshi Mamitsuka	A new efficient probabilistic model for mining labeled ordered trees applied to glycobiology.	ACM Trans. Knowl. Discov. Data	2008	DBLP DOI BibTeX RDF	labeled ordered trees, probabilistic models, maximum likelihood, Expectation-maximization
12	Petr Lánský, Susanne Ditlevsen	A review of the methods for signal estimation in stochastic diffusion leaky integrate-and-fire neuronal models.	Biol. Cybern.	2008	DBLP DOI BibTeX RDF	Ornstein-Uhlenbeck, Feller process, Moment method, Fortets integral equation, Interspike intervals, Maximum likelihood, Statistical inference, Laplace transform, First-passage times
12	Glenn Shafer	Belief Functions and Parametric Models.	Classic Works of the Dempster-Shafer Theory of Belief Functions	2008	DBLP DOI BibTeX RDF	Constructive probability, Dempster’s rule, Fiducial inference, Lower probabilities, Belief functions, Parametric models, Bayesian statistics, Exchangeability, Likelihood
12	Neha Udar, Krishna Kant 0001, R. Viswanathan 0002	Asset Localization in Data Centers Using WUSB Radios.	Networking	2008	DBLP DOI BibTeX RDF	Wireless USB, localization, Maximum Likelihood Estimation, Ultra Wideband (UWB), data centers, channel model
12	Eyad Almasri, Peter E. Larsen, Guanrao Chen, Yang Dai	Incorporating Literature Knowledge in Bayesian Network for Inferring Gene Networks with Gene Expression Data.	ISBRA	2008	DBLP DOI BibTeX RDF	Likelihood score, Prior probability, Bayesian Network
12	Anna Tikhomirov, Anuar Konkashbaev, Dan L. Nicolae	On Single-Array Genotype Calling Algorithms.	BMEI (1)	2008	DBLP DOI BibTeX RDF	genotype calling algorithm, empirical likelihood
12	Xiuwei Zhang, Maryam Zaheri, Bernard M. E. Moret	Using Phylogenetic Relationships to Improve the Inference of Transcriptional Regulatory Networks.	BMEI (1)	2008	DBLP DOI BibTeX RDF	phylogenetic relationships, maximum likelihood, dynamic Bayesian networks, regulatory networks
12	B. Ganguli, Matt P. Wand	Feature significance in generalized additive models.	Stat. Comput.	2007	DBLP DOI BibTeX RDF	Best linear unbiased prediction (BLUP), Bivariate smoothing, Generalised linear mixed models, Low-rank mixed models, Penalised splines, Penalised quasi-likelihood (PQL), Geostatistics, Additive models
12	J. V. Ross, Thomas Taimre, Philip K. Pollett	Estimation for queues from queue length data.	Queueing Syst. Theory Appl.	2007	DBLP DOI BibTeX RDF	M/M/c queues, Maximum likelihood, Queue length, Diffusion approximation, Rate estimation, Traffic intensity
12	Cyrille Enderli, Laurent Savy, Philippe Réfrégier	Application of the Deflection Criterion to Classification of Radar SAR Images.	IEEE Trans. Pattern Anal. Mach. Intell.	2007	DBLP DOI BibTeX RDF	Deflection, Likelihood ratio approximation, Fisher ratio, Classification, Radar
12	David A. van Leeuwen, Niko Brümmer	An Introduction to Application-Independent Evaluation of Speaker Recognition Systems.	Speaker Classification (1)	2007	DBLP DOI BibTeX RDF	speaker evaluation, speaker calibration, log-likelihood-ratio, DET-curve, APE-curve, speaker recognition, speaker detection
12	Alex Alvarado, Leszek Szczecinski, Rodolfo Feick	On the distribution of extrinsic L-values in gray-mapped 16-QAM.	IWCMC	2007	DBLP DOI BibTeX RDF	L-values, LLR, extrinsic, logarithmic likelihood ratios, quadrature amplitude modulation, PDF, probability density function, QAM
12	Veselina G. Jecheva, Evgeniya P. Nikolova	Decoding efficiency of the MAP and the max-log MAP algorithm as a strategy in anomaly-based intrusion detection systems.	CompSysTech	2007	DBLP DOI BibTeX RDF	max log MAP algorithm, maximum a posteriori (MAP) algorithm, maximum likelihood (ML) criterion, hidden Markov models (HMM), intrusion detection, gradient method
12	Hiroyuki Okamura, Yuya Kamahara, Tadashi Dohi	Estimating Markov-modulated compound Poisson processes.	VALUETOOLS	2007	DBLP DOI BibTeX RDF	Markov-modulated compound Poisson process, compound Markovian arrival process, EM algorithm, maximum likelihood estimation, uniformization
12	Yuri Vyatkin, Konstantin V. Gunbin, Alexey V. Snytnikov, Dmitry A. Afonnikov	The Location of the Gene Regions Under Selective Pressure: Plato Algorithm Parallelization.	PaCT	2007	DBLP DOI BibTeX RDF	gene evolution, algorithm, parallel computing, maximum likelihood
12	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
12	Bilal Al Momani, Sally I. McClean, Philip J. Morrow	Using Dempster-Shafer to incorporate knowledge into satellite image classification.	Artif. Intell. Rev.	2006	DBLP DOI BibTeX RDF	Evidential theory, Classification, Remote sensing, Maximum likelihood
12	Erik G. Learned-Miller	Data Driven Image Models through Continuous Joint Alignment.	IEEE Trans. Pattern Anal. Mach. Intell.	2006	DBLP DOI BibTeX RDF	bias removal, congealing, clustering, entropy, medical imaging, unsupervised learning, registration, magnetic resonance imaging, Alignment, maximum likelihood, density estimation, correspondence, nonparametric statistics, artifact removal
12	Kosuke Hashimoto, Kiyoko F. Aoki-Kinoshita, Nobuhisa Ueda, Minoru Kanehisa, Hiroshi Mamitsuka	A new efficient probabilistic model for mining labeled ordered trees.	KDD	2006	DBLP DOI BibTeX RDF	labeled ordered trees, probabilistic models, maximum likelihood, expectation - maximization
12	Nick G. Duffield, Carsten Lund, Mikkel Thorup	Estimating flow distributions from sampled flow statistics.	IEEE/ACM Trans. Netw.	2005	DBLP DOI BibTeX RDF	measurement, TCP/IP, maximum likelihood estimation, packet sampling, sampling methods, measurement errors, IP flows
12	Carlos Ordonez 0001, Edward Omiecinski	Accelerating EM clustering to find high-quality solutions.	Knowl. Inf. Syst.	2005	DBLP DOI BibTeX RDF	Clustering, EM algorithm, Maximum likelihood, Mixture of Gaussians
12	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
12	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
12	John Moses, Malcolm Farrow	Assessing Variation in Development Effort Consistency Using a Data Source with Missing Data.	Softw. Qual. J.	2005	DBLP DOI BibTeX RDF	MCAR, Development Type, Language Type, deviance statistic, negative log likelihood statistic, RSQ Adjusted, Bayesian inference, Function Points, MAR, linear regression models
12	Heinz Mühlenbein, Robin Höns	Approximate factorizations of distributions and the minimum relative entropy principle.	GECCO Workshops	2005	DBLP DOI BibTeX RDF	bethe-kikuchi approximation, boltzmann distribution, factorization of distributions, minimum log-likelihood ratio, minimum relative entropy, maximum entropy principle, bayesian information criterion, estimation of distributions
12	Zhiwei Li 0006, Bin Wang, Mingjing Li, Wei-Ying Ma	A probabilistic model for retrospective news event detection.	SIGIR	2005	DBLP DOI BibTeX RDF	retrospective news event detection, clustering, maximum likelihood, expectation maximization
12	Bo Wang 0002, D. M. Titterington	Lack of Consistency of Mean Field and Variational break Bayes Approximations for State Space Models.	Neural Process. Lett.	2004	DBLP DOI BibTeX RDF	variational EM, maximum likelihood, state space model, Kullback-Leibler divergence, mean field, variational Bayes
12	Wojciech Chojnacki, Michael J. Brooks, Anton van den Hengel, Darren Gawley	From FNS to HEIV: A Link between Two Vision Parameter Estimation Methods.	IEEE Trans. Pattern Anal. Mach. Intell.	2004	DBLP DOI BibTeX RDF	(un)constrained minimization, maximum likelihood, Statistical methods, fundamental matrix, epipolar equation
12	L. German	Signal recognition: Both components of the short time Fourier transform vs. power spectral density.	Pattern Anal. Appl.	2003	DBLP DOI BibTeX RDF	Covariance and correlation coefficient, Gaussian signal recognition, Real and imaginary Fourier components, Statistical pattern recognition, Power spectral density, Likelihood ratio
12	Adam C. Siepel, David Haussler	Combining phylogenetic and hidden Markov models in biosequence analysis.	RECOMB	2003	DBLP DOI BibTeX RDF	context-sensitive substitution, maximum likelihood
12	Nick G. Duffield, Carsten Lund, Mikkel Thorup	Estimating flow distributions from sampled flow statistics.	SIGCOMM	2003	DBLP DOI BibTeX RDF	maximum likelihood estimation, packet sampling, IP flows
12	Lothar Breuer	An EM Algorithm for Batch Markovian Arrival Processes and its Comparison to a Simpler Estimation Procedure.	Ann. Oper. Res.	2002	DBLP DOI BibTeX RDF	hidden Markov models, EM algorithm, maximum likelihood estimation, Markovian Arrival Process
12	Ian H. Dinwoodie	Algebraic Methods for Polynomial Statistical Models.	Stat. Comput.	2002	DBLP DOI BibTeX RDF	Gröbner basis, EM-algorithm, maximum likelihood, identifiability, network tomography, sufficient statistic
12	Arto Kaarna, Jussi Parkkinen	Cursive Script Recognition using Wildcards and Multiple Experts.	Pattern Anal. Appl.	2001	DBLP DOI BibTeX RDF	Dynamic handwriting data, Explanation expert, Multi-expert combination, Poor quality handwriting recognition, Wildcard likelihood, Wildcards, Self-confidence
12	Yee Leung, Jiang-Hong Ma, Wen-Xiu Zhang	A New Method for Mining Regression Classes in Large Data Sets.	IEEE Trans. Pattern Anal. Mach. Intell.	2001	DBLP DOI BibTeX RDF	RCMD method, regression class, genetic algorithm, Data mining, robustness, mixture modeling, maximum likelihood method
12	Te-Won Lee, Michael S. Lewicki, Terrence J. Sejnowski	ICA Mixture Models for Unsupervised Classification of Non-Gaussian Classes and Automatic Context Switching in Blind Signal Separation.	IEEE Trans. Pattern Anal. Mach. Intell.	2000	DBLP DOI BibTeX RDF	automatic context switching, independent component analysis, image coding, Gaussian mixture model, maximum likelihood, blind source separation, Unsupervised classification
12	Mike Smit, Jerry Garegnani, Matt Bechdol, Samir Chettri	Parallel Image Classification on the HIVE.	AIPR	2000	DBLP DOI BibTeX RDF	theHIVE, Gaussian Maximum Likelihood Classifier, Polynomial Discriminant Method, Mixture Model Neural Network, Neural Networks, classification, parallel algorithms, MIMD, SPMD
12	Nader B. Ebrahimi	How to Improve the Calibration of Cost Models.	IEEE Trans. Software Eng.	1999	DBLP DOI BibTeX RDF	regression analysis, confidence interval, normal distribution, measurement error, Likelihood function
12	Thomas Martini Jørgensen, Christian Linneberg	Theoretical Analysis and Improved Decision Criteria for the n-Tuple Classifier.	IEEE Trans. Pattern Anal. Mach. Intell.	1999	DBLP DOI BibTeX RDF	n-tuple classifier, RAM-net, maximum likelihood, cross-validation, Bayes
12	Christopher M. Bishop, Michael E. Tipping	A Hierarchical Latent Variable Model for Data Visualization.	IEEE Trans. Pattern Anal. Mach. Intell.	1998	DBLP DOI BibTeX RDF	hierarchical mixture model, clustering, principal component analysis, statistics, EM algorithm, data visualization, maximum likelihood, density estimation, factor analysis, Latent variables
12	Kenichi Kanatani	Geometric Information Criterion for Model Selection.	Int. J. Comput. Vis.	1998	DBLP DOI BibTeX RDF	degeneracy detection, structure from motion, maximum likelihood estimation, model selection, statistical estimation, AIC
12	Nader B. Ebrahimi	On the Statistical Analysis of the Number of Errors Remaining in a Software Design Document after Inspection.	IEEE Trans. Software Eng.	1997	DBLP DOI BibTeX RDF	Chi-squared distribution, confidence interval, Likelihood function, smoothing parameter, nonparametric estimation
12	Carey E. Priebe, David J. Marchette, George W. Rogers	Segmentation of Random Fields Via Borrowed Strength Density Estimation.	IEEE Trans. Pattern Anal. Mach. Intell.	1997	DBLP DOI BibTeX RDF	profile likelihood, image analysis, Mixture model, digital mammography
12	Pedro M. Q. Aguiar, José M. F. Moura	Detecting and Solving Template Ambiguities in Motion Segmentation.	ICIP (2)	1997	DBLP DOI BibTeX RDF	template ambiguities solution, template ambiguities detection, incremental motion segmentation, robot soccer video clip, maximum likelihood estimation, moving objects, image quality, minimization, color image, video signal processing, background, gray level image
12	Juan Liu, Pierre Moulin	Complexity-Regularized Image Denoising.	ICIP (2)	1997	DBLP DOI BibTeX RDF	complexity-regularized image denoising, complexity penalties, reconstructed image mean-squared error, complexity-regularized estimators, computational complexity, maximum likelihood estimation, AWGN
12	Bir Bhanu, Bing Tian	Stochastic Models for Recognition of Articulated Objects.	ICIP (2)	1997	DBLP DOI BibTeX RDF	articulated objects recognition, probabilistic estimates, feature invariance estimation, scattering centers, training image, testing images, 1D sequences, maximum likelihood decision, hidden Markov modeling, HMM, stochastic models, experimental results, synthetic aperture radar, synthetic aperture radar, SAR images, multiple models
12	D. P. Elias, Nick G. Kingsbury	The Recovery of a Near Optimal Layer Representation for an Entire Image Sequence.	ICIP (1)	1997	DBLP DOI BibTeX RDF	near optimal layer representation, forward/backward motion estimation, uncovering, maximum likelihood solution, segmentation, image sequence, video coding, occlusion, EM algorithm, image representation, special effects, format conversion
12	Yuri Boykov, Olga Veksler, Ramin Zabih	Disparity Component Matching for Visual Correspondence.	CVPR	1997	DBLP DOI BibTeX RDF	motion, Stereo, maximum likelihood, correspondence, connected components
12	Jana Novovicová, Pavel Pudil, Josef Kittler	Divergence Based Feature Selection for Multimodal Class Densities.	IEEE Trans. Pattern Anal. Mach. Intell.	1996	DBLP DOI BibTeX RDF	feature ordering, Kullback J-divergence, Feature selection, EM algorithm, maximum likelihood, mixture distribution
12	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
12	Hermann Ney, Ute Essen, Reinhard Kneser	On the Estimation of 'Small' Probabilities by Leaving-One-Out.	IEEE Trans. Pattern Anal. Mach. Intell.	1995	DBLP DOI BibTeX RDF	Stochastic language modeling, zero-frequency problem, generalization capability, maximum likelihood estimation, leaving-one-out
12	D. Keightley, Bobby R. Hunt	A rigid POCS extension to a Poisson super-resolution algorithm.	ICIP	1995	DBLP DOI BibTeX RDF	Poisson superresolution algorithm, iterative Poisson maximum aposteriori algorithm, model based MAP algorithm, rigid POCS extension, projection on convex sets, nonlinear restoration schemes, iterative MAP deconvolution technique, POCS enhancement, convergence, iterative methods, image restoration, image enhancement, maximum likelihood estimation, stochastic processes, image resolution, convergence of numerical methods, deconvolution, spatial constraints
12	Vladimir Z. Mesarovic, Nikolas P. Galatsanos, Miles N. Wernick	Iterative maximum a posteriori (MAP) restoration from partially-known blur for tomographic reconstruction.	ICIP	1995	DBLP DOI BibTeX RDF	iterative maximum a posteriori restoration, MAP algorithm, signal-covariance estimation, signal-covariance restoration, system response matrix, noisy blurred sinogram, covariance estimator, iterative linear minimum mean-squared-error filter, LMMSE filter, tomographic reconstruction, iterative MAP restoration, image reconstruction, medical imaging, iterative methods, image restoration, maximum likelihood estimation, medical image processing, matrix algebra, tomography, computerised tomography, convergence analysis, covariance analysis
12	Thomas Wiegand, Michael Lightstone, T. George Campbell, Sanjit K. Mitra	Efficient mode selection for block-based motion compensated video coding.	ICIP	1995	DBLP DOI BibTeX RDF	block based motion compensated video coding, mode selection, multimode video compression system, bit rate budget, encoder operation optimisation, rate constrained product code, distortion dependency, rate dependency, macroblock modes, H.263 video coding standard, image segmentation, dynamic programming, dynamic programming, data compression, video coding, maximum likelihood estimation, motion compensation, distortion, telecommunication standards, rate distortion theory, Viterbi algorithm, code standards, image region, necessary conditions, operating modes
12	Damianos G. Karakos, Panos E. Trahanias	Combining vector median and vector directional filters: the directional-distance filters.	ICIP	1995	DBLP DOI BibTeX RDF	vector directional filters, multispectral image processing, directional-distance filters, vector approach, vector processing filters, MLE estimates, color image data processing, directional information, chromaticity preservation, image processing, noise, maximum likelihood estimation, spectral analysis, filtering theory, image colour analysis, median filters, exponential distribution, exponential distributions, vector median filters, impulsive noise removal
12	B. L. Tseng, Dimitris Anastassiou	A theoretical study on an accurate reconstruction of multiview images based on the Viterbi algorithm.	ICIP	1995	DBLP DOI BibTeX RDF	multiview images reconstruction, forward dynamic programming technique, disparity graph representation, intermediate views reconstruction, camera configuration, dense disparity field, intermediate frame, obstructed revealed obstructed objects, dense disparity maps, intermediate images, dynamic programming, graph theory, interpolation, interpolation, data compression, image reconstruction, image coding, image representation, maximum likelihood estimation, stereo image processing, geometric constraints, Viterbi algorithm
12	Jiebo Luo, Chang Wen Chen, Kevin J. Parker, Thomas S. Huang	Adaptive quantization with spatial constraints in subband video compression using wavelets.	ICIP	1995	DBLP DOI BibTeX RDF	adaptive quantization, subband video compression, high frequency subbands coding, spectral localization properties, spatial localization properties, subband decomposition, multimodal Laplacian distribution, spectral distribution, noniterative MAP estimation, quantized subbands, wavelet transforms, wavelets, data compression, statistical analysis, video coding, maximum likelihood estimation, spectral analysis, random processes, adaptive signal processing, spatial constraints, quantisation (signal), Gibbs random field, low bit rate coding, subband coding
12	Dam LeQuang, André Zaccarin, S. Caron	Object-oriented coding using successive motion field segmentation and estimation.	ICIP	1995	DBLP DOI BibTeX RDF	object oriented coding, successive motion field segmentation, block based motion compensation, moving object boundaries, object oriented video compression algorithms, motion compensated images, successive motion field estimation, object oriented coder, maximum a posteriori probability estimate, translational motion field, complex motion models, computational complexity, image segmentation, motion estimation, probability, data compression, image sequences, video coding, video coding, image matching, maximum likelihood estimation, motion compensation, simulation results, video sequences, pixels, image regions, bit rate reduction, two stage algorithm, translational motion, computational complexity reduction
12	Anand S. Bedekar, Robert M. Haralick	A Bayesian method for triangulation and its application to finding corresponding points.	ICIP	1995	DBLP DOI BibTeX RDF	corresponding points, multiple perspective projection images, 3D points estimation, hypothesis verification problem, 3D point coordinates, triangulation problem, Bayesian estimation problem, observed image points, camera parameters, 3D point distance, misdetection rate, image processing, experiments, statistical analysis, maximum likelihood estimation, Bayes methods, statistical test, Bayesian method, MAP estimation, maximum a posteriori estimation, false alarm rate, projection images
12	Michael M. Daniel, Alan S. Willsky, Dennis McLaughlin, David J. Rossi	A multi-resolution approach for imaging hydraulic conductivity.	ICIP	1995	DBLP DOI BibTeX RDF	hydrological techniques, hydraulic conductivity imaging, multiresolution approach, multiple spatial scales, groundwater flow, subsurface observations, large scale variations prediction, maximum a posteriori inversions, AR process, measurement model, multiple measurement sources, point measurements, piezometric head, spatially varying resolution, measurement sampling geometry, parameter estimation, image reconstruction, maximum likelihood estimation, image resolution, geophysical signal processing, autoregressive processes, autoregressive process, linear functional, groundwater
12	Nikolaos D. Sidiropoulos, John S. Baras, Carlos Alberto Berenstein	On morphological openings and closings of signals in shaped noise.	ICIP	1995	DBLP DOI BibTeX RDF	morphological closings, shaped noise, morphologically smooth binary image signals, IID union noise, IID union clutter, IID random dropouts, morphological constraints, image processing, noise, mathematical morphology, maximum likelihood estimation, filtering theory, geometric constraints, clutter, MAP estimators, morphological filter, noise model, geometric structure, morphological openings
12	Hiroki Mori, Hirotomo Aso, Shozo Makino	Japanese document recognition based on interpolated n-gram model of character.	ICDAR	1995	DBLP DOI BibTeX RDF	Japanese document recognition, interpolated n-gram model, pattern recognition system, contextual postprocessing method, trigram model, statistical processing, training documents, deleted interpolation method, error correction rates, optical character recognition, maximum likelihood estimation, local feature, Viterbi algorithm, smoothing methods, perplexity
12	Rafael Molina 0001	On the Hierarchical Bayesian Approach to Image Restoration: Applications to Astronomical Images.	IEEE Trans. Pattern Anal. Mach. Intell.	1994	DBLP DOI BibTeX RDF	hierarchical Bayesian approach, astronomical images, local characteristics, hyperprior, hyperparameters estimation, noise, image restoration, image restoration, maximum likelihood estimation, Bayes methods, image models, astronomy
12	Marvin K. Nakayama	A Characterization of the Simple Failure-Biasing Method for Simulations of Highly Reliable Markovian Systems.	ACM Trans. Model. Comput. Simul.	1994	DBLP DOI BibTeX RDF	balanced failure biasing, highly reliable systems, simple failure biasing, importance sampling, likelihood ratios, gradient estimation
12	Dharma Thiruvaiyaru, Ishwar V. Basawa	Empirical Bayes estimation for queueing systems and networks.	Queueing Syst. Theory Appl.	1992	DBLP DOI BibTeX RDF	Bayes procedures, empirical Bayes estimators, Markovian queues, networks of queues, maximum likelihood estimation
12	Pierre Brémaud	Maximal coupling and rare perturbation sensitivity analysis.	Queueing Syst. Theory Appl.	1992	DBLP DOI BibTeX RDF	simulation, Sensitivity analysis, perturbation analysis, point processes, likelihood ratio, discrete event dynamical systems
12	Tein-Hsiang Lin, Kang G. Shin	Location of a Faulty Module in a Computing System.	IEEE Trans. Computers	1990	DBLP DOI BibTeX RDF	faulty module, likelihood principle, fault tolerance, fault tolerant computing, probability, error detection, error propagation, computing system, model parameters
12	Shin-Yee Lu, King-sun Fu	Stochastic Error-Correcting Syntax Analysis for Recognition of Noisy Patterns.	IEEE Trans. Computers	1977	DBLP DOI BibTeX RDF	Error-correcting parsing (ECP), maximum-likelihood criterion, sequential error-correcting parser, syntactic decoding, syntactic pattern recognition
12	David B. Cooper, Nese Yalabik	On the Computational Cost of Approximating and Recognizing Noise-Perturbed Straight Lines and Quadratic Arcs in the Plane.	IEEE Trans. Computers	1976	DBLP DOI BibTeX RDF	curve-fitting error measures, recursive least-squares and maximum likelihood curve fitting, sequential curve recognition, pattern recognition, Computational cost
12	James C. Bezdek, Joseph C. Dunn	Optimal Fuzzy Partitions: A Heuristic for Estimating the Parameters in a Mixture of Normal Distributions.	IEEE Trans. Computers	1975	DBLP DOI BibTeX RDF	mixed normal distributions, Fuzzy sets, unsupervised learning, pattern classification, maximum likelihood, parametric estimation
12	Roger W. Ehrich, Kenneth J. Koehler	Experiments in the Contextual Recognition of Cursive Script.	IEEE Trans. Computers	1975	DBLP DOI BibTeX RDF	Admissible sequence, binary diagram, Neyman-Pearson, segment mark, substitution set, pattern recognition, context, correlator, dictionary, likelihood ratio, cursive script
12	Lai-Wo Fung, King-sun Fu	Stochastic Syntactic Decoding for Pattern Classification.	IEEE Trans. Computers	1975	DBLP DOI BibTeX RDF	Error-correcting parsing (ECP), maximum-likelihood criterion, minimum-distance criterion, syntactic decoding, syntactic pattern recognition
9	Gabriel S. Gusmão, Andrew J. Medford	Maximum-likelihood estimators in physics-informed neural networks for high-dimensional inverse problems.	Comput. Chem. Eng.	2024	DBLP DOI BibTeX RDF
9	Qin Chen, Jiahua Jin, Xiangbin Yan	Impact of online physician service quality on patients' adoption behavior across different stages: An elaboration likelihood perspective.	Decis. Support Syst.	2024	DBLP DOI BibTeX RDF
9	Qianwen Tao, Zhaozheng Hu, Guoliang Lai, Jinjie Wan, Qili Chen	SMLAD: Simultaneous Matching, Localization, and Detection for Intelligent Vehicle From LiDAR Map With Semantic Likelihood Model.	IEEE Trans. Veh. Technol.	2024	DBLP DOI BibTeX RDF
9	Liugen Xue	Doubly robust estimation and robust empirical likelihood in generalized linear models with missing responses.	Stat. Comput.	2024	DBLP DOI BibTeX RDF
9	Yuki Takazawa, Tomonari Sei	Maximum likelihood estimation of log-concave densities on tree space.	Stat. Comput.	2024	DBLP DOI BibTeX RDF
9	Alexander Aushev, Thong Tran, Henri Pesonen, Andrew Howes, Samuel Kaski	Likelihood-free inference in state-space models with unknown dynamics.	Stat. Comput.	2024	DBLP DOI BibTeX RDF
9	Liugen Xue	Empirical likelihood and estimation in single-index varying-coefficient models with censored data.	Stat. Comput.	2024	DBLP DOI BibTeX RDF
9	Luke Mosley, Tak-Shing T. Chan, Alex J. Gibberd	The sparse dynamic factor model: a regularised quasi-maximum likelihood approach.	Stat. Comput.	2024	DBLP DOI BibTeX RDF
9	Linh H. Nghiem, Francis K. C. Hui, Samuel Müller 0001, Alan H. Welsh	Likelihood-based surrogate dimension reduction.	Stat. Comput.	2024	DBLP DOI BibTeX RDF
9	David J. Warne, Oliver J. Maclaren, Elliot J. Carr, Matthew J. Simpson, Christopher C. Drovandi	Generalised likelihood profiles for models with intractable likelihoods.	Stat. Comput.	2024	DBLP DOI BibTeX RDF
9	Dmytro Perepolkin, Benjamin Goodrich, Ullrika Sahlin	Hybrid elicitation and quantile-parametrized likelihood.	Stat. Comput.	2024	DBLP DOI BibTeX RDF
9	Noa Kallioinen, Topi Paananen, Paul-Christian Bürkner, Aki Vehtari	Detecting and diagnosing prior and likelihood sensitivity with power-scaling.	Stat. Comput.	2024	DBLP DOI BibTeX RDF
9	Kes Ward, Gaetano Romano, Idris A. Eckley, Paul Fearnhead	A constant-per-iteration likelihood ratio test for online changepoint detection for exponential family models.	Stat. Comput.	2024	DBLP DOI BibTeX RDF
9	Alexandre Mösching, Lutz Dümbgen	Estimation of a likelihood ratio ordered family of distributions.	Stat. Comput.	2024	DBLP DOI BibTeX RDF
9	Luca Brusa, Fulvia Pennoni, Francesco Bartolucci	Maximum likelihood estimation for discrete latent variable models via evolutionary algorithms.	Stat. Comput.	2024	DBLP DOI BibTeX RDF
9	E. Sausa, Pavel Rajmic, Franz Hlawatsch	Distributed Bayesian target tracking with reduced communication: Likelihood consensus 2.0.	Signal Process.	2024	DBLP DOI BibTeX RDF
9	Baojian Yang, Huaiguang Wang, Zhiyong Shi	Variational Bayesian and generalized maximum-likelihood based adaptive robust nonlinear filtering framework.	Signal Process.	2024	DBLP DOI BibTeX RDF
9	Shuvayan Banerjee, Sudhansh Peddabomma, Radhendushka Srivastava, Ajit Rajwade 0001	A likelihood based method for compressive signal recovery under Gaussian and saturation noise.	Signal Process.	2024	DBLP DOI BibTeX RDF
9	Gianfranco Adimari, Duc-Khanh To, Monica Chiogna, Francesca Scatozza, Antonio Facchiano	Likelihood-type confidence regions for optimal sensitivity and specificity of a diagnostic test.	Comput. Stat. Data Anal.	2024	DBLP DOI BibTeX RDF
9	Lili Yu, Yichuan Zhao	Laplace approximated quasi-likelihood method for heteroscedastic survival data.	Comput. Stat. Data Anal.	2024	DBLP DOI BibTeX RDF
9	Christian Caamaño-Carrillo, Moreno Bevilacqua, Cristian López, Víctor Morales-Oñate	Nearest neighbors weighted composite likelihood based on pairs for (non-)Gaussian massive spatial data with an application to Tukey-hh random fields estimation.	Comput. Stat. Data Anal.	2024	DBLP DOI BibTeX RDF
9	Wei Li, Shanshan Luo, Wangli Xu	Calibrated regression estimation using empirical likelihood under data fusion.	Comput. Stat. Data Anal.	2024	DBLP DOI BibTeX RDF
9	Mohammad Ahmad Al-Jarrah, Emad Alsusa, Arafat Al-Dweik	Penalized Maximum-Likelihood-Based Localization for Unknown Number of Targets Using WSNs: Terrestrial and Underwater Environments.	IEEE Internet Things J.	2024	DBLP DOI BibTeX RDF
9	Li Liu, Wenjie Li, Ming Gong, Lei Zhong, Honggang Gu, Shiyuan Liu	Resolution-Enhanced Lensless Ptychographic Microscope Based on Maximum-Likelihood High-Dynamic-Range Image Fusion.	IEEE Trans. Instrum. Meas.	2024	DBLP DOI BibTeX RDF