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2015, 1st ed. 2015, Probability theory and stochastic modelling, ISBN 9783319258188, Volume 76, xviii, 323
A simplified approach to Malliavin calculus adapted to Poisson random measures is developed and applied in this book. Called the "lent particle method" it is... 
Dirichlet forms | Lévy processes | Poisson processes | Distribution (Probability theory | Probability Theory and Stochastic Processes | Mathematics | Levy processes
Book
2012, 1, London Mathematical Society monographs, ISBN 9780691136059, Volume 35, xv, 479
This book gives a comprehensive and self-contained introduction to the theory of symmetric Markov processes and symmetric quasi-regular Dirichlet forms. In a... 
Markov processes | Statistics | Dirichlet problem | Boundary value problems | Math
Book
2010, Graduate studies in mathematics, ISBN 9780821849491, Volume 113., xii, 271
"Markov processes are among the most important stochastic processes for both theory and applications. This book develops the general theory of these processes... 
Stochastic integrals | Markov processes
Book
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 02/2015, Volume 37, Issue 2, pp. 307 - 320
Journal Article
2013, De Gruyter studies in mathematics, ISBN 9783110302004, Volume 48, x, 284
Book
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 02/2015, Volume 37, Issue 2, pp. 256 - 270
Journal Article
Automatica, ISSN 0005-1098, 12/2016, Volume 74, pp. 360 - 368
This paper presents tractable information value functions for Dirichlet-process Gaussian-process (DPGP) mixture models obtained via collocation methods and... 
Bayesian nonparametric models | Dirichlet process | Gaussian process | Information gain | Information theory | TRACKING | SENSOR | AUTOMATION & CONTROL SYSTEMS | ENGINEERING, ELECTRICAL & ELECTRONIC | Models | Sensors | Analysis | Measuring instruments
Journal Article
Journal Article
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, ISSN 0162-8828, 04/2014, Volume 36, Issue 4, pp. 670 - 683
Video analysis often begins with background subtraction. This problem is often approached in two steps-a background model followed by a regularisation scheme.... 
VISION | Background subtraction | VIDEO | DENSITY-ESTIMATION | Dirichlet processes | confidence capping | SEGMENTATION | video analysis | OBJECT DETECTION | non-parametric Bayesian methods | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
2011, 2nd rev. and ext. ed., De Gruyter studies in mathematics, ISBN 9783110218084, Volume 19, viii, 489
Book
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 01/2011, Volume 12, Issue Jan, pp. 203 - 239
A logistic stick-breaking process (LSBP) is proposed for non-parametric clustering of general spatially-or temporally-dependent data, imposing the belief that... 
Nonparametric | Dependent | Segmentation | Hierarchical models | Bayesian | IMAGE SEGMENTATION | MIXTURES | PRIORS | DIRICHLET PROCESSES | hierarchical models | segmentation | ALGORITHMS | nonparametric | dependent | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Bayesian Analysis, ISSN 1936-0975, 2006, Volume 1, Issue 1 A, pp. 121 - 144
Dirichlet process (DP) mixture models are the cornerstone of non-parametric Bayesian statistics, and the development of Monte-Carlo Markov chain (MCMC)... 
Dirichlet processes | Variational inference | Image processing | Bayesian computation | Hierarchical models | image processing | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | hierarchical models | STATISTICS & PROBABILITY | variational inference
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 09/2008, Volume 103, Issue 483, pp. 1131 - 1154
Journal Article
1980, North-Holland mathematical library, ISBN 0444854215, Volume 23, x, 196
Book
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