311 search results - page 38 / 63 » Learning Probabilistic Models of Link Structure |
120
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CVPR
2008
IEEE
16 years 3 months ago
2008
IEEE
This paper presents a novel approach to pedestrian classification which involves utilizing the synthesized virtual samples of a learned generative model to enhance the classificat...
140
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RSS
2007
15 years 3 months ago
2007
Abstract— This paper considers the problem of learning to recognize different terrains from color imagery in a fully automatic fashion, using the robot’s mechanical sensors as ...
119
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ICCV
2007
IEEE
16 years 3 months ago
2007
IEEE
We consider the problem of predicting a sequence of real-valued multivariate states from a given measurement sequence. Its typical application in computer vision is the task of mo...
128
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KDD
2002
ACM
16 years 2 months ago
2002
ACM
Relational Markov models (RMMs) are a generalization of Markov models where states can be of different types, with each type described by a different set of variables. The domain ...
169
Voted
CVPR
2009
IEEE
16 years 9 months ago
2009
IEEE
This paper deals with estimation of dense optical flow
and ego-motion in a generalized imaging system by exploiting
probabilistic linear subspace constraints on the flow.
We dea...