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170
Voted
CVPR
2003
IEEE
16 years 8 months ago
2003
IEEE
We develop a multi-class object detection framework whose core component is a nearest neighbor search over object part classes. The performance of the overall system is critically...
187
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CVPR
2003
IEEE
16 years 8 months ago
2003
IEEE
When performing subspace modelling of data using Principal Component Analysis (PCA) it may be desirable to constrain certain directions to be more meaningful in the context of the...
212
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CVPR
2004
IEEE
16 years 8 months ago
2004
IEEE
Weighted graph matching is a good way to align a pair of shapes represented by a set of descriptive local features; the set of correspondences produced by the minimum cost matchin...
150
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CVPR
2005
IEEE
16 years 8 months ago
2005
IEEE
Subspace methods such as PCA, LDA, ICA have become a standard tool to perform visual learning and recognition. In this paper we propose Representational Oriented Component Analysi...
176
click to vote
CVPR
2005
IEEE
16 years 8 months ago
2005
IEEE
In this paper we focus on high dimensional data sets for which the number of dimensions is an order of magnitude higher than the number of objects. From a classifier design standp...