403 search results - page 22 / 81 » Metric and Kernel Learning Using a Linear Transformation |
ICCV
2009
IEEE
16 years 6 months ago
2009
IEEE
Similarity metrics that are learned from labeled training
data can be advantageous in terms of performance
and/or efficiency. These learned metrics can then be used
in conjuncti...
129
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CVPR
2009
IEEE
16 years 9 months ago
2009
IEEE
This paper describes a new algorithm for recovering the
3D shape and motion of deformable and articulated objects
purely from uncalibrated 2D image measurements using an
iterati...
120
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CVPR
2006
IEEE
16 years 3 months ago
2006
IEEE
Segmentation involves separating an object from the background. In this work, we propose a novel segmentation method combining image information with prior shape knowledge, within...
100
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ALT
2003
Springer
15 years 5 months ago
2003
Springer
Abstract. A crucial problem in machine learning is to choose an appropriate representation of data, in a way that emphasizes the relations we are interested in. In many cases this ...
113
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ICDM
2009
IEEE
15 years 8 months ago
2009
IEEE
—We consider the problem of learning a linear combination of pre-specified kernel matrices in the Fisher discriminant analysis setting. Existing methods for such a task impose a...