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175
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SIGIR
2004
ACM
15 years 9 months ago
GaP: a factor model for discrete data
We present a probabilistic model for a document corpus that combines many of the desirable features of previous models. The model is called “GaP” for Gamma-Poisson, the distri...
John F. Canny
ICML
2000
IEEE
16 years 4 months ago
Learning Probabilistic Models for Decision-Theoretic Navigation of Mobile Robots
Decision-theoretic reasoning and planning algorithms are increasingly being used for mobile robot navigation, due to the signi cant uncertainty accompanying the robots' perce...
Daniel Nikovski, Illah R. Nourbakhsh
CVPR
2008
IEEE
15 years 10 months ago
Fuzzy chamfer distance and its probabilistic formulation for visual tracking
The paper presents a fuzzy chamfer distance and its probabilistic formulation for edge-based visual tracking. First, connections of the chamfer distance and the Hausdorff distance...
Yonggang Jin, Farzin Mokhtarian, Miroslaw Bober, J...
127
Voted
AIME
2007
Springer
15 years 10 months ago
Enhancing Automated Test Selection in Probabilistic Networks
Abstract. Most test-selection algorithms currently in use with probabilistic networks select variables myopically, that is, test variables are selected sequentially, on a one-by-on...
Danielle Sent, Linda C. van der Gaag
ESANN
2007
15 years 5 months ago
Mixtures of robust probabilistic principal component analyzers
Mixtures of probabilistic principal component analyzers model high-dimensional nonlinear data by combining local linear models. Each mixture component is specifically designed to...
Cédric Archambeau, Nicolas Delannay, Michel...