'Variational inference' diaporamas de présentation

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Variational Inference and Variational Message Passing

Variational Inference and Variational Message Passing

Variational Inference and Variational Message Passing. John Winn Microsoft Research, Cambridge. 12 th November 2004 Robotics Research Group, University of Oxford. Overview. Probabilistic models & Bayesian inference Variational Inference Variational Message Passing Vision example.

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589 views • 50 slides
Memoized Online Variational Inference for Dirichlet Process Mixture Models

Memoized Online Variational Inference for Dirichlet Process Mixture Models

Memoized Online Variational Inference for Dirichlet Process Mixture Models. NIPS 2013 Michael C. Hughes and Erik B. Sudderth. Motivation. k=6. k=1 k=2 k=3 Clusters: Points:

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655 views • 30 slides
CS498-EA Reasoning in AI Lecture #14

CS498-EA Reasoning in AI Lecture #14

CS498-EA Reasoning in AI Lecture #14. Professor: Eyal Amir Fall Semester 2009. * Some slides due to Fei-Fei Li (Stanford U). Summary So Far in Our Class. We saw motivating applications We discussed two methods for propositional-logical reasoning

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339 views • 22 slides
Latent Dirichlet Allocation

Latent Dirichlet Allocation

David M Blei, Andrew Y Ng & Michael I Jordan presented by Tilaye Alemu & Anand Ramkissoon. Latent Dirichlet Allocation. Motivation for LDA. In lay terms: document modelling text classification collaborative filtering ... ...in the context of Information Retrieval

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489 views • 22 slides
Parallelized variational EM for Latent Dirichlet Allocation: An experimental evaluation of speed and scalability

Parallelized variational EM for Latent Dirichlet Allocation: An experimental evaluation of speed and scalability

Parallelized variational EM for Latent Dirichlet Allocation: An experimental evaluation of speed and scalability. Ramesh Nallapati, William Cohen and John Lafferty Machine Learning Department Carnegie Mellon University. Latent Dirichlet Allocation (LDA).

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452 views • 21 slides
Physical Fluctuomatics 1st Review of probabilistic information processing

Physical Fluctuomatics 1st Review of probabilistic information processing

Physical Fluctuomatics 1st Review of probabilistic information processing. Kazuyuki Tanaka Graduate School of Information Sciences kazu@smapip.is.tohoku.ac.jp http://www.smapip.is.tohoku.ac.jp/~kazu/. Webpage: http://www.smapip.is.tohoku.ac.jp/~ kazu/PhysicalFluctuomatics/2014/. Textbooks.

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364 views • 21 slides
Dictionary Learning on a Manifold

Dictionary Learning on a Manifold

Dictionary Learning on a Manifold. 1 Mingyuan Zhou, 2 Hongxia Yang, 3 Guillermo Sapiro, 2 David Dunson and 1 Lawrence Carin 1 Department of Electrical & Computer Engineering, Duke University 2 Department of Statistical Science, Duke University

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384 views • 20 slides
Real-Time Tracking with Mean Shift

Real-Time Tracking with Mean Shift

Real-Time Tracking with Mean Shift. Presented by: Qiuhua Liu May 6, 2005. Outline. Color model for the target Introduction to mean-shift Tracking algorithm with mean shift Compassion with Particle Filter algorithm with the similar color model. Color Model for the Target.

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449 views • 16 slides
John Steinberg Institute for Signal and Information Processing Temple University

John Steinberg Institute for Signal and Information Processing Temple University

A Comparative Analysis of Bayesian Nonparametric Variational Inference Algorithms for Speech Recognition. John Steinberg Institute for Signal and Information Processing Temple University Philadelphia, Pennsylvania, USA. Introduction. The Motivating Problem.

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152 views • 15 slides
English vs. Mandarin: A Phonetic Comparison

English vs. Mandarin: A Phonetic Comparison

Variational Inference Algorithms for Acoustic Modeling in Speech Recognition. College of Engineering Temple University. www.isip.piconepress.com. John Steinberg and Dr. Joseph Picone Department of Electrical and Computer Engineering, Temple University. Abstract

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216 views • 1 slides
English vs. Mandarin: A Phonetic Comparison

English vs. Mandarin: A Phonetic Comparison

Variational Inference Algorithms for Acoustic Modeling in Speech Recognition. College of Engineering Temple University. www.isip.piconepress.com. John Steinberg and Dr. Joseph Picone Department of Electrical and Computer Engineering, Temple University. Abstract

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152 views • 1 slides
English vs. Mandarin: A Phonetic Comparison

English vs. Mandarin: A Phonetic Comparison

Variational Inference Algorithms for Acoustic Modeling in Speech Recognition. College of Engineering Temple University. www.isip.piconepress.com. John Steinberg and Dr. Joseph Picone Department of Electrical and Computer Engineering, Temple University. Abstract

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210 views • 1 slides

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