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» Toward General Analysis of Recursive Probability Models
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139
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APGV
2004
ACM
176views Visualization» more  APGV 2004»
15 years 8 months ago
Towards perceptually realistic talking heads: models, methods and McGurk
Motivated by the need for an informative, unbiased and quantitative perceptual method for the development and evaluation of a talking head we are developing, we propose a new test...
Darren Cosker, Susan Paddock, A. David Marshall, P...
130
Voted
VLDB
2007
ACM
149views Database» more  VLDB 2007»
15 years 8 months ago
Probabilistic Skylines on Uncertain Data
Uncertain data are inherent in some important applications. Although a considerable amount of research has been dedicated to modeling uncertain data and answering some types of qu...
Jian Pei, Bin Jiang, Xuemin Lin, Yidong Yuan
113
Voted
AAAI
1997
15 years 4 months ago
Effective Bayesian Inference for Stochastic Programs
In this paper, we propose a stochastic version of a general purpose functional programming language as a method of modeling stochastic processes. The language contains random choi...
Daphne Koller, David A. McAllester, Avi Pfeffer
113
Voted
ICASSP
2011
IEEE
14 years 6 months ago
Statistical Resolution Limit for source localization in a MIMO context
In this paper, we derive the Multidimensional Statistical Resolution Limit (MSRL) to resolve two closely spaced targets using a widely spaced MIMO radar. Toward this end, we perfo...
Mohammed Nabil El Korso, Rémy Boyer, Alexan...
130
Voted
NIPS
2003
15 years 4 months ago
On the Concentration of Expectation and Approximate Inference in Layered Networks
We present an analysis of concentration-of-expectation phenomena in layered Bayesian networks that use generalized linear models as the local conditional probabilities. This frame...
XuanLong Nguyen, Michael I. Jordan