5128 search results - page 231 / 1026 » Discrete Component Analysis |
145
Voted
SCVMA
2004
Springer
15 years 10 months ago
2004
Springer
Abstract. In this paper, several important issues related to visual motion analysis are addressed with a focus on the type of motion information to be estimated and the way context...
168
Voted
AIPS
2007
15 years 7 months ago
2007
This paper summarizes research on a new emerging framework for learning to plan using the Markov decision process model (MDP). In this paradigm, two approaches to learning to plan...
145
Voted
NIPS
2007
15 years 6 months ago
2007
The problem of obtaining the maximum a posteriori estimate of a general discrete random field (i.e. a random field defined using a finite and discrete set of labels) is known ...
139
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IPMI
2003
Springer
16 years 5 months ago
2003
Springer
The Gaussian distribution is the basis for many methods used in the statistical analysis of shape. One such method is principal component analysis, which has proven to be a powerfu...
137
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ICIP
2008
IEEE
15 years 11 months ago
2008
IEEE
—Beyond conventional linear and kernel-based feature extraction, we present a more generalized formulation for feature extraction in this paper. Two representative algorithms usi...