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104
Voted
KDD
2004
ACM
113views Data Mining» more  KDD 2004»
16 years 3 months ago
Learning spatially variant dissimilarity (SVaD) measures
Clustering algorithms typically operate on a feature vector representation of the data and find clusters that are compact with respect to an assumed (dis)similarity measure betwee...
Krishna Kummamuru, Raghu Krishnapuram, Rakesh Agra...
124
Voted
CVPR
2009
IEEE
16 years 9 months ago
Geometric and Probabilistic Image Dissimilarity Measures for Common Field of View Detection
Detecting image pairs with a common field of view is an important prerequisite for many computer vision tasks. Typically, common local features are used as a criterion for ident...
Ferid Bajramovic, Joachim Denzler, Marcel Brü...
138
Voted
CVPR
2010
IEEE
15 years 11 months ago
The Multiscale Competitive Code via Sparse Representation for Palmprint Verification
Palm lines are the most important features for palmprint recognition. They are best considered as typical multiscale features, where the principal lines can be represented at a la...
Wangmeng Zuo, Zhouchen Lin
117
Voted
COMPUTING
1999
99views more  COMPUTING 1999»
15 years 2 months ago
A Minimal Line Property Preserving Representation of Line Images
In line image understandingaminimal lineproperty preserving(MLPP)graphoftheimagecompliments the structural information in geometric graph representations like the run graph. With ...
Mark Burge, Walter G. Kropatsch
127
Voted
COSIT
2003
Springer
129views GIS» more  COSIT 2003»
15 years 7 months ago
Linearized Terrain: Languages for Silhouette Representations
The scope of this paper is a qualitative description of terrain features that can be characterized using the silhouette of a terrain. The silhouette is a profile of a landform seen...
Lars Kulik, Max J. Egenhofer