3718 search results - page 2 / 744 » On learning with dissimilarity functions |
SSDBM
2009
IEEE
15 years 4 months ago
2009
IEEE
Abstract. With the drastic increase of object trajectory data, the analysis and exploration of trajectories has become a major research focus with many applications. In particular,...
AAAI
2007
14 years 12 months ago
2007
Recent studies have shown that graph-based approaches are effective for semi-supervised learning. The key idea behind many graph-based approaches is to enforce the consistency bet...
MCS
2001
Springer
15 years 2 months ago
2001
Springer
For learning purposes, representations of real world objects can be built by using the concept of dissimilarity (distance). In such a case, an object is characterized in a relative...
ICDM
2005
IEEE
15 years 3 months ago
2005
IEEE
Many practical applications require that distance measures to be asymmetric and context-sensitive. We introduce Context-sensitive Learnable Asymmetric Dissimilarity (CLAD) measure...
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Voted
GIS
2009
ACM
15 years 4 months ago
2009
ACM
