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» Toward General Analysis of Recursive Probability Models
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APGV
2004
ACM
176views Visualization» more  APGV 2004»
15 years 7 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...
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
AAAI
1997
15 years 3 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
ICASSP
2011
IEEE
14 years 5 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...
NIPS
2003
15 years 3 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