1859 search results - page 151 / 372 » Using Problems to Learn Service-Oriented Computing |
195
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PAMI
2008
15 years 6 months ago
2008
Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...
170
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WACV
2007
IEEE
16 years 12 days ago
2007
IEEE
Visual categorization is fundamentally important for autonomous mobile robots to get intelligence such as novel object acquisition and topological place recognition. The main difï...
204
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DAGM
2007
Springer
15 years 10 months ago
2007
Springer
Interest point detection in still images is a well-studied topic in computer vision. In the spatiotemporal domain, however, it is still unclear which features indicate useful inter...
170
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NIPS
2003
15 years 7 months ago
2003
We consider the problem of reconstructing patterns from a feature map. Learning algorithms using kernels to operate in a reproducing kernel Hilbert space (RKHS) express their solu...
182
Voted
ICIP
2009
IEEE
15 years 3 months ago
2009
IEEE
Unconstrained face recognition is the problem of deciding if an image pair is showing the same individual or not, without having class specific training material or knowing anythi...