Search results for "likelihoods"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
71	Rune B. Lyngsø, Yun S. Song, Jotun Hein	Accurate Computation of Likelihoods in the Coalescent with Recombination Via Parsimony.	RECOMB	2008	DBLP DOI BibTeX RDF
51	John Mullane, Martin David Adams, Wijerupage Sardha Wijesoma	Outdoor Radar Mapping Using Measurement Likelihood Estimation.	FSR	2007	DBLP DOI BibTeX RDF
51	Paul B. Chou, Christopher M. Brown	The theory and practice of Bayesian image labeling.	Int. J. Comput. Vis.	1990	DBLP DOI BibTeX RDF
49	Kang G. Shin, Hagbae Kim	A Time Redundancy Approach to TMR Failures Using Fault-State Likelihoods.	IEEE Trans. Computers	1994	DBLP DOI BibTeX RDF	time redundancy approach, TMR failures, fault-state likelihoods, processing modules, disagreement detector, system reconfiguration, adaptive recovery method, fault tolerant computing, redundancy, digital simulation, simulation results, Bayes methods, voters, triple modular redundant system, Bayes theorem
42	Bing Ma, Sridhar Lakshmanan, Alfred O. Hero III	Detection of Curved Road Edges in Radar Images Via Deformable Templates.	ICIP (1)	1997	DBLP DOI BibTeX RDF	curved road edge detection, millimeter-wave radar images, random field likelihoods, adaptive MAP estimate, three-region indicator matrix, road geometry, quasi-quadratic matrix, log-normal likelihood, optimal road edges, deterministic recursive scheme, optimal indicator matrix, experimental results, Bayesian method, deformable templates, radar imaging, radar images, Metropolis algorithm, weighting scheme, nonlinear constraints
42	Matthew Brand, Nuria Oliver, Alex Pentland	Coupled hidden Markov models for complex action recognition.	CVPR	1997	DBLP DOI BibTeX RDF	complex action recognition, vision task, two-handed actions, Bayesian semantics, limited state memory, single-process model, training speeds, model likelihoods, hidden Markov models, robustness, dynamic time warping, dynamic behaviors, training algorithm, coupled hidden Markov models
38	Ales Padrta, Vlasta Radová	On the Background Model Construction for Speaker Verification Using GMM.	TSD	2004	DBLP DOI BibTeX RDF
33	Liam Paninski, Adrian Haith, Gábor Szirtes	Integral equation methods for computing likelihoods and their derivatives in the stochastic integrate-and-fire model.	J. Comput. Neurosci.	2008	DBLP DOI BibTeX RDF	Large deviations approximation, Markov process, Volterra integral equation
33	Matteo Bregonzio, Murtaza Taj, Andrea Cavallaro	Multi-Modal Particle Filtering Tracking using Appearance, Motion and Audio Likelihoods.	ICIP (5)	2007	DBLP DOI BibTeX RDF
33	Erik Pogalin, André Redert, Ioannis Patras, Emile A. Hendriks	Gaze Tracking by Using Factorized Likelihoods Particle Filtering and Stereo Vision.	3DPVT	2006	DBLP DOI BibTeX RDF
33	Stephen J. McKenna, Hammadi Nait-Charif	Learning Spatial Context from Tracking using Penalised Likelihoods.	ICPR (4)	2004	DBLP DOI BibTeX RDF
33	Stefan Roth 0001, Leonid Sigal, Michael J. Black	Gibbs Likelihoods for Bayesian Tracking.	CVPR (1)	2004	DBLP DOI BibTeX RDF
33	Glenn Marion, Gavin J. Gibson, Eric Renshaw	Estimating likelihoods for spatio-temporal models using importance sampling.	Stat. Comput.	2003	DBLP DOI BibTeX RDF	likelihood estimation, stochastic integration, spatio-temporal stochastic process, incomplete observations, Markov chain Monte Carlo, importance sampling
33	Cristian Sminchisescu	Consistency and Coupling in Human Model Likelihoods.	FGR	2002	DBLP DOI BibTeX RDF
29	Steven M. LaValle, Seth Hutchinson 0001	A Bayesian Segmentation Methodology for Parametric Image Models.	IEEE Trans. Pattern Anal. Mach. Intell.	1995	DBLP DOI BibTeX RDF	Statistical image segmentation, Markov random field, range images, texture segmentation, Bayesian methods, Bayes factor, likelihoods
26	Andreas Wedel, Annemarie Meißner, Clemens Rabe, Uwe Franke, Daniel Cremers	Detection and Segmentation of Independently Moving Objects from Dense Scene Flow.	EMMCVPR	2009	DBLP DOI BibTeX RDF
26	Jeroen Lichtenauer, Emile A. Hendriks, Marcel J. T. Reinders	Sign Language Recognition by Combining Statistical DTW and Independent Classification.	IEEE Trans. Pattern Anal. Mach. Intell.	2008	DBLP DOI BibTeX RDF
26	Angela Quinlan, Futoshi Asano	Tracking a varying number of speakers using particle filtering.	ICASSP	2008	DBLP DOI BibTeX RDF
26	Yi Huang, Michael S. Brown, Dong Xu	A framework for reducing ink-bleed in old documents.	CVPR	2008	DBLP DOI BibTeX RDF
26	Mitsuharu Emoto, Akira Hayashi, Nobuo Suematsu, Kazunori Iwata 0001	View Independent Gait Identification Using a Particle Filter.	AVSS	2006	DBLP DOI BibTeX RDF
26	Liyang Xie, Jinyu Zhou, Xuemin Wang	Data mapping and the prediction of common cause failure probability.	IEEE Trans. Reliab.	2005	DBLP DOI BibTeX RDF
26	Brian Mak, James Tin-Yau Kwok, Simon Ka-Lung Ho	Kernel Eigenvoice Speaker Adaptation.	IEEE Trans. Speech Audio Process.	2005	DBLP DOI BibTeX RDF
26	Pavel Paclík, Serguei Verzakov, Robert P. W. Duin	Improving the Maximum-Likelihood Co-occurrence Classifier: A Study on Classification of Inhomogeneous Rock Images.	SCIA	2005	DBLP DOI BibTeX RDF
26	Kazunori Okada, Umut Akdemir, Arun Krishnan	Blob Segmentation Using Joint Space-Intensity Likelihood Ratio Test: Application to 3D Tumor Segmentation.	CVPR (2)	2005	DBLP DOI BibTeX RDF
26	Alex I. Bazin, Mark S. Nixon	Gait Verification Using Probabilistic Methods.	WACV/MOTION	2005	DBLP DOI BibTeX RDF
26	Donka S. Angelova, Lyudmila Mihaylova, Tzvetan Semerdjiev	Monte Carlo Algorithm for Maneuvering Target Tracking and Classification.	International Conference on Computational Science	2004	DBLP DOI BibTeX RDF
26	Annie Yao, Andrew Calway	Interpolating Novel Views from Image Sequences by Probabilistic Depth Carving.	ECCV (2)	2004	DBLP DOI BibTeX RDF
26	Yifan Gong 0001	Noise-dependent Gaussian mixture classifiers for robust rejection decision.	IEEE Trans. Speech Audio Process.	2002	DBLP DOI BibTeX RDF
26	Charles H. Fosgate, Hamid Krim, William W. Irving, William Clement Karl, Alan S. Willsky	Multiscale segmentation and anomaly enhancement of SAR imagery.	IEEE Trans. Image Process.	1997	DBLP DOI BibTeX RDF
20	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
20	Xiliang Yang, Yifei Xiong, Zhijian He	Leveraging Nested MLMC for Sequential Neural Posterior Estimation with Intractable Likelihoods.	CoRR	2024	DBLP DOI BibTeX RDF
20	Ali Al Kadhim, Harrison B. Prosper, Olivia F. Prosper	Amortized simulation-based frequentist inference for tractable and intractable likelihoods.	Mach. Learn. Sci. Technol.	2024	DBLP DOI BibTeX RDF
20	Sagnik Mondal, Sameh Abdulah, Hatem Ltaief, Ying Sun 0002, Marc G. Genton, David E. Keyes	Tile low-rank approximations of non-Gaussian space and space-time Tukey g-and-h random field likelihoods and predictions on large-scale systems.	J. Parallel Distributed Comput.	2023	DBLP DOI BibTeX RDF
20	Christian Krullikowski, Candace Chow, Marc Wieland, Sandro Martinis, Bernhard Bauer-Marschallinger, Florian Roth, Patrick Matgen, Marco Chini, Renaud Hostache, Yu Li, Peter Salamon	Estimating Ensemble Likelihoods for the Sentinel-1-Based Global Flood Monitoring Product of the Copernicus Emergency Management Service.	IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.	2023	DBLP DOI BibTeX RDF
20	Anja Beck, Méril Reboud, Danny van Dyk	Testable Likelihoods for Beyond-the-Standard Model Fits.	CoRR	2023	DBLP DOI BibTeX RDF
20	Julian Rodemann, Christoph Jansen, Georg Schollmeyer, Thomas Augustin	In all LikelihoodS: How to Reliably Select Pseudo-Labeled Data for Self-Training in Semi-Supervised Learning.	CoRR	2023	DBLP DOI BibTeX RDF
20	Alexandre Adam, Connor Stone, Connor Bottrell, Ronan Legin, Yashar Hezaveh, Laurence Perreault Levasseur	Echoes in the Noise: Posterior Samples of Faint Galaxy Surface Brightness Profiles with Score-Based Likelihoods and Priors.	CoRR	2023	DBLP DOI BibTeX RDF
20	Erik Englesson, Amir Mehrpanah, Hossein Azizpour	Logistic-Normal Likelihoods for Heteroscedastic Label Noise in Classification.	CoRR	2023	DBLP DOI BibTeX RDF
20	Maximilian Dinkel, Carolin M. Geitner, Gil Robalo Rei, Jonas Nitzler, Wolfgang A. Wall	Solving Bayesian Inverse Problems With Expensive Likelihoods Using Constrained Gaussian Processes and Active Learning.	CoRR	2023	DBLP DOI BibTeX RDF
20	Garima Singh, Jonas Rembser, Lorenzo Moneta, David J. Lange, Vassil Vassilev	Automatic Differentiation of Binned Likelihoods With Roofit and Clad.	CoRR	2023	DBLP DOI BibTeX RDF
20	Suman V. Ravuri, Mélanie Rey, Shakir Mohamed, Marc Peter Deisenroth	Understanding Deep Generative Models with Generalized Empirical Likelihoods.	CoRR	2023	DBLP DOI BibTeX RDF
20	Polina Zablotskaia, Misha Khalman, Rishabh Joshi, Livio Baldini Soares, Shoshana Jakobovits, Joshua Maynez, Shashi Narayan	Calibrating Likelihoods towards Consistency in Summarization Models.	CoRR	2023	DBLP DOI BibTeX RDF
20	Julian Rodemann, Christoph Jansen, Georg Schollmeyer, Thomas Augustin	In all likelihoods: robust selection of pseudo-labeled data.	ISIPTA	2023	DBLP BibTeX RDF
20	William Plumb, Alex Bottle, Giuliano Casale, Alex Liddle	Clinical Pathway Clustering Using Surrogate Likelihoods and Replayability Validation.	WSC	2023	DBLP DOI BibTeX RDF
20	Yong Fang 0001, Qiqi He, Dandan Ding, Hangguan Shan, Lu Yu 0003, Zhaoyang Zhang	Deep-Learning Based Gaussian Mixture Likelihoods Joint Source-Channel Coding for Image Transmission.	WCSP	2023	DBLP DOI BibTeX RDF
20	Suman V. Ravuri, Mélanie Rey, Shakir Mohamed, Marc Peter Deisenroth	Understanding Deep Generative Models with Generalized Empirical Likelihoods.	CVPR	2023	DBLP DOI BibTeX RDF
20	Stefano van Gogh	Hybrid tomographic reconstruction in grating interferometry breast CT: combining physics-based likelihoods with data-driven priors.		2023	RDF
20	Frank Rotiroti, Stephen G. Walker	Computing marginal likelihoods via the Fourier integral theorem and pointwise estimation of posterior densities.	Stat. Comput.	2022	DBLP DOI BibTeX RDF
20	Oliver R. A. Dunbar, Andrew B. Duncan, Andrew M. Stuart, Marie-Therese Wolfram	Ensemble Inference Methods for Models With Noisy and Expensive Likelihoods.	SIAM J. Appl. Dyn. Syst.	2022	DBLP DOI BibTeX RDF
20	Haitao Liu 0002, Yew-Soon Ong, Ziwei Yu, Jianfei Cai 0001, Xiaobo Shen 0001	Scalable Gaussian Process Classification With Additive Noise for Non-Gaussian Likelihoods.	IEEE Trans. Cybern.	2022	DBLP DOI BibTeX RDF
20	Shantanu Jaiswal, Liu Yan, Dongkyu Choi, Kenneth Kwok	A Probabilistic-Logic based Commonsense Representation Framework for Modelling Inferences with Multiple Antecedents and Varying Likelihoods.	CoRR	2022	DBLP DOI BibTeX RDF
20	Yuli Liu, Christian J. Walder, Lexing Xie	Determinantal Point Process Likelihoods for Sequential Recommendation.	CoRR	2022	DBLP DOI BibTeX RDF
20	Darren Abramson 0001, Ali Emami	An Application of Pseudo-Log-Likelihoods to Natural Language Scoring.	CoRR	2022	DBLP BibTeX RDF
20	Michael Whitehouse, Nick Whiteley, Lorenzo Rimella	Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods.	CoRR	2022	DBLP DOI BibTeX RDF
20	Sagnik Mondal, Sameh Abdulah, Hatem Ltaief, Ying Sun 0002, Marc G. Genton, David E. Keyes	Parallel Approximations of the Tukey g-and-h Likelihoods and Predictions for Non-Gaussian Geostatistics.	IPDPS	2022	DBLP DOI BibTeX RDF
20	Thalia Vrantsidis, Tania Lombrozo	Simplicity beyond probability: Simplicity's role in evaluating explanations goes beyond providing cues to priors and likelihoods.	CogSci	2022	DBLP BibTeX RDF
20	Kushal Chauhan, Barath Mohan Umapathi, Pradeep Shenoy, Manish Gupta, Devarajan Sridharan	Robust outlier detection by de-biasing VAE likelihoods.	CVPR	2022	DBLP DOI BibTeX RDF
20	Yuli Liu, Christian J. Walder, Lexing Xie	Determinantal Point Process Likelihoods for Sequential Recommendation.	SIGIR	2022	DBLP DOI BibTeX RDF
20	Martin Jankowiak, Du Phan	Surrogate Likelihoods for Variational Annealed Importance Sampling.	ICML	2022	DBLP BibTeX RDF
20	Gaël Alguero, Sabine Kraml, Wolfgang Waltenberger	A SModelS interface for pyhf likelihoods.	Comput. Phys. Commun.	2021	DBLP DOI BibTeX RDF
20	George Wynne, François-Xavier Briol, Mark Girolami	Convergence Guarantees for Gaussian Process Means With Misspecified Likelihoods and Smoothness.	J. Mach. Learn. Res.	2021	DBLP BibTeX RDF
20	Joshua J. Bon, Anthony Lee, Christopher C. Drovandi	Accelerating sequential Monte Carlo with surrogate likelihoods.	Stat. Comput.	2021	DBLP DOI BibTeX RDF
20	Stefan Wunsch, Simon Jörger, Roger Wolf, Günter Quast	Optimal Statistical Inference in the Presence of Systematic Uncertainties Using Neural Network Optimization Based on Binned Poisson Likelihoods with Nuisance Parameters.	Comput. Softw. Big Sci.	2021	DBLP DOI BibTeX RDF
20	Andrew B. Duncan, Andrew M. Stuart, Marie-Therese Wolfram	Ensemble Inference Methods for Models With Noisy and Expensive Likelihoods.	CoRR	2021	DBLP BibTeX RDF
20	Hisaichi Shibata, Shouhei Hanaoka, Yukihiro Nomura, Takahiro Nakao, Tomomi Takenaga, Naoto Hayashi, Osamu Abe	X2CT-FLOW: Reconstruction of multiple volumetric chest computed tomography images with different likelihoods from a uni- or biplanar chest X-ray image using a flow-based generative model.	CoRR	2021	DBLP BibTeX RDF
20	Desi R. Ivanova, Adam Foster 0001, Steven Kleinegesse, Michael U. Gutmann, Tom Rainforth	Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods.	CoRR	2021	DBLP BibTeX RDF
20	David Heckerman, Dan Geiger	Likelihoods and Parameter Priors for Bayesian Networks.	CoRR	2021	DBLP BibTeX RDF
20	Nico Reick, Felix Wiewel, Alexander Bartler, Bin Yang 0009	Estimation of Bivariate Structural Causal Models by Variational Gaussian Process Regression Under Likelihoods Parametrised by Normalising Flows.	CoRR	2021	DBLP BibTeX RDF
20	Martin Jankowiak, Du Phan	Surrogate Likelihoods for Variational Annealed Importance Sampling.	CoRR	2021	DBLP BibTeX RDF
20	Florian Pfaff, Kailai Li, Uwe D. Hanebeck	Conditional Densities and Likelihoods for Hypertoroidal Densities Based on Trigonometric Polynomials.	MFI	2021	DBLP DOI BibTeX RDF
20	Desi R. Ivanova, Adam Foster 0001, Steven Kleinegesse, Michael U. Gutmann, Thomas Rainforth	Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods.	NeurIPS	2021	DBLP BibTeX RDF
20	Siddharth Ramchandran, Miika Koskinen, Harri Lähdesmäki	Latent Gaussian process with composite likelihoods and numerical quadrature.	AISTATS	2021	DBLP BibTeX RDF
20	James Paul LeSage	Fast MCMC estimation of multiple W-matrix spatial regression models and Metropolis-Hastings Monte Carlo log-marginal likelihoods.	J. Geogr. Syst.	2020	DBLP DOI BibTeX RDF
20	Ray S. W. Chung, Mike K. P. So, Amanda M. Y. Chu, Thomas W. C. Chan	Regularization of Bayesian quasi-likelihoods constructed from complex estimating functions.	Comput. Stat. Data Anal.	2020	DBLP DOI BibTeX RDF
20	Johannes Reichl	Estimating marginal likelihoods from the posterior draws through a geometric identity.	Monte Carlo Methods Appl.	2020	DBLP DOI BibTeX RDF
20	Ben Powell, Paul A. Smith	Computing expectations and marginal likelihoods for permutations.	Comput. Stat.	2020	DBLP DOI BibTeX RDF
20	Luigi Acerbi	Variational Bayesian Monte Carlo with Noisy Likelihoods.	CoRR	2020	DBLP BibTeX RDF
20	Hans Kersting, Nicholas Krämer, Martin Schiegg, Christian Daniel, Michael Tiemann, Philipp Hennig	Differentiable Likelihoods for Fast Inversion of 'Likelihood-Free' Dynamical Systems.	CoRR	2020	DBLP BibTeX RDF
20	Sepehr Hendiani, Lisheng Jiang, Ebrahim Sharifi, Huchang Liao	Multi-expert multi-criteria decision making based on the likelihoods of interval type-2 trapezoidal fuzzy preference relations.	Int. J. Mach. Learn. Cybern.	2020	DBLP DOI BibTeX RDF
20	Shaogang Ren, Dingcheng Li, Zhixin Zhou, Ping Li 0001	Estimate the Implicit Likelihoods of GANs with Application to Anomaly Detection.	WWW	2020	DBLP DOI BibTeX RDF
20	Pawel M. Chilinski, Ricardo Silva	Neural Likelihoods via Cumulative Distribution Functions. (PDF / PS)	UAI	2020	DBLP BibTeX RDF
20	Zhengxue Cheng, Heming Sun, Masaru Takeuchi, Jiro Katto	Learned Lossless Image Compression with A Hyperprior and Discretized Gaussian Mixture Likelihoods.	ICASSP	2020	DBLP DOI BibTeX RDF
20	Ryo Kamoi, Kei Kobayashi	Out-of-Distribution Detection with Likelihoods Assigned by Deep Generative Models Using Multimodal Prior Distributions.	SafeAI@AAAI	2020	DBLP BibTeX RDF
20	Zhengxue Cheng, Heming Sun, Jiro Katto	Low Bitrate Image Compression with Discretized Gaussian Mixture Likelihoods.	CVPR Workshops	2020	DBLP BibTeX RDF
20	Zhengxue Cheng, Heming Sun, Masaru Takeuchi, Jiro Katto	Learned Image Compression With Discretized Gaussian Mixture Likelihoods and Attention Modules.	CVPR	2020	DBLP BibTeX RDF
20	Luigi Acerbi	Variational Bayesian Monte Carlo with Noisy Likelihoods.	NeurIPS	2020	DBLP BibTeX RDF
20	Hans Kersting, Nicholas Krämer, Martin Schiegg, Christian Daniel, Michael Tiemann, Philipp Hennig	Differentiable Likelihoods for Fast Inversion of 'Likelihood-Free' Dynamical Systems.	ICML	2020	DBLP BibTeX RDF
20	Yang Li 0012, Shoaib Akbar, Junier Oliva	ACFlow: Flow Models for Arbitrary Conditional Likelihoods.	ICML	2020	DBLP BibTeX RDF
20	Ziqiao Ao, Jinglai Li	An approximate KLD based experimental design for models with intractable likelihoods.	AISTATS	2020	DBLP BibTeX RDF
20	Victor Alfonso Rodriguez, Tony Sun, Phyllis Thangaraj, Chao Pang, Krishna Kalluri, Xinzhuo Jiang, Karthik Natarajan, Patrick B. Ryan, Anna Ostropolets, Ruijun Chen	Phenotype Concept Set Construction from Concept Pair Likelihoods.	AMIA	2020	DBLP BibTeX RDF
20	Robert Feldmann	LEO-Py: Estimating likelihoods for correlated, censored, and uncertain data with given marginal distributions.	Astron. Comput.	2019	DBLP DOI BibTeX RDF
20	Emma A. Fox, Alison E. Wright, Matteo Fumagalli 0002, Filipe G. Vieira	ngsLD: evaluating linkage disequilibrium using genotype likelihoods.	Bioinform.	2019	DBLP DOI BibTeX RDF
20	Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn 0001, Wolfram Wiesemann	Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization.	CoRR	2019	DBLP BibTeX RDF
20	Haitao Liu 0002, Yew-Soon Ong, Ziwei Yu, Jianfei Cai 0001, Xiaobo Shen 0001	Scalable Gaussian Process Classification with Additive Noise for Various Likelihoods.	CoRR	2019	DBLP BibTeX RDF
20	Siddharth Ramchandran, Miika Koskinen, Harri Lähdesmäki	Latent Gaussian process with composite likelihoods for data-driven disease stratification.	CoRR	2019	DBLP BibTeX RDF
20	Yang Li 0012, Shoaib Akbar, Junier B. Oliva	Flow Models for Arbitrary Conditional Likelihoods.	CoRR	2019	DBLP BibTeX RDF
20	Christina Winkler, Daniel E. Worrall, Emiel Hoogeboom, Max Welling	Learning Likelihoods with Conditional Normalizing Flows.	CoRR	2019	DBLP BibTeX RDF
20	Christopher M. Bender, Juan Jose Garcia, Kevin O'Connor, Junier Oliva	Permutation Invariant Likelihoods and Equivariant Transformations.	CoRR	2019	DBLP BibTeX RDF
20	Martin Jankowiak, Jacob R. Gardner	Neural Likelihoods for Multi-Output Gaussian Processes.	CoRR	2019	DBLP BibTeX RDF
20	Merijn Mestdagh, Stijn Verdonck, Kristof Meers, Tim Loossens, Francis Tuerlinckx	Prepaid parameter estimation without likelihoods.	PLoS Comput. Biol.	2019	DBLP DOI BibTeX RDF