3718 search results - page 339 / 744 » On learning with dissimilarity functions |
186
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ICCV
2003
IEEE
16 years 8 months ago
2003
IEEE
Learning visual models of object categories notoriously requires thousands of training examples; this is due to the diversity and richness of object appearance which requires mode...
185
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
This paper investigates compression of 3D objects in computer graphics using manifold learning. Spectral compression uses the eigenvectors of the graph Laplacian of an object'...
165
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ALT
2009
Springer
16 years 3 months ago
2009
Springer
We consider the problem of learning a finite automaton M of n states with input alphabet X and output alphabet Y when a teacher has helpfully or randomly labeled the states of M u...
174
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CVPR
2010
IEEE
16 years 2 months ago
2010
IEEE
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
192
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DAGM
2009
Springer
16 years 1 months ago
2009
Springer
High-speed smooth and accurate visual tracking of objects in arbitrary, unstructured environments is essential for robotics and human motion analysis. However, building a system th...