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» On learning with dissimilarity functions
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SSDBM
2009
IEEE
116views Database» more  SSDBM 2009»
13 years 11 months ago
Constraint-Based Learning of Distance Functions for Object Trajectories
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,...
Wei Yu, Michael Gertz
AAAI
2007
13 years 7 months ago
Semi-Supervised Learning by Mixed Label Propagation
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...
Wei Tong, Rong Jin
MCS
2001
Springer
13 years 9 months ago
On Combining Dissimilarity Representations
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...
Elzbieta Pekalska, Robert P. W. Duin
ICDM
2005
IEEE
117views Data Mining» more  ICDM 2005»
13 years 10 months ago
On Learning Asymmetric Dissimilarity Measures
Many practical applications require that distance measures to be asymmetric and context-sensitive. We introduce Context-sensitive Learnable Asymmetric Dissimilarity (CLAD) measure...
Krishna Kummamuru, Raghu Krishnapuram, Rakesh Agra...
GIS
2009
ACM
13 years 11 months ago
A dissimilarity function for clustering geospatial polygons
Deepti Joshi, Ashok Samal, Leen-Kiat Soh