78 search results - page 8 / 16 » Learning similarity measures in non-orthogonal space |
CIVR
2008
Springer
14 years 11 months ago
2008
Springer
As the consequence of semantic gap, visual similarity does not guarantee semantic similarity, which in general is conflicting with the inherent assumption of many generativebased ...
97
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SDM
2007
SIAM
14 years 11 months ago
2007
SIAM
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
107
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SIGIR
2008
ACM
14 years 9 months ago
2008
ACM
We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...
NIPS
1997
14 years 10 months ago
1997
Singular value decomposition (SVD) can be viewed as a method for unsupervised training of a network that associates two classes of events reciprocally by linear connections throug...
ECML
2006
Springer
15 years 1 months ago
2006
Springer
A critical problem in clustering research is the definition of a proper metric to measure distances between points. Semi-supervised clustering uses the information provided by the ...