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ICASSP
2010
IEEE
13 years 9 months ago
Direct importance estimation with probabilistic principal component analyzers
The importance estimation problem (estimating the ratio of two probability density functions) has recently gathered a great deal of attention for use in various applications, e.g....
Makoto Yamada, Masashi Sugiyama, Gordon Wichern
IJCV
2000
161views more  IJCV 2000»
13 years 9 months ago
Probabilistic Detection and Tracking of Motion Boundaries
We propose a Bayesian framework for representing and recognizing local image motion in terms of two basic models: translational motion and motion boundaries. Motion boundaries are ...
Michael J. Black, David J. Fleet
TSMC
2002
112views more  TSMC 2002»
13 years 8 months ago
A method for evaluating elicitation schemes for probabilistic models
We present an objective approach for evaluating probability and structure elicitation methods in probabilistic models. The main idea is to use the model derived from the experts�...
Haiqin Wang, Denver Dash, Marek J. Druzdzel
ICRA
2010
IEEE
69views Robotics» more  ICRA 2010»
13 years 7 months ago
Probabilistic shadow information spaces
— This paper introduces a Bayesian filter that is specifically designed for counting targets that move outside of the field of view while performing a sensor sweep. Informatio...
Jingjin Yu, Steven M. LaValle
CIKM
2010
Springer
13 years 7 months ago
Probabilistic ranking for relational databases based on correlations
This paper proposes a ranking method to exploit statistical correlations among pairs of attribute values in relational databases. For a given query, the correlations of the query ...
Jaehui Park, Sang-goo Lee