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ICML
2004
IEEE
16 years 4 months ago
Boosting margin based distance functions for clustering
The performance of graph based clustering methods critically depends on the quality of the distance function, used to compute similarities between pairs of neighboring nodes. In t...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
AROBOTS
2005
115views more  AROBOTS 2005»
15 years 3 months ago
Obstacle Detection and Terrain Classification for Autonomous Off-Road Navigation
Autonomous navigation in cross-country environments presents many new challenges with respect to more traditional, urban environments. The lack of highly structured components in t...
Roberto Manduchi, Andres Castano, A. Talukder, Lar...
SOFTVIS
2010
ACM
15 years 1 months ago
Dependence cluster visualization
Large clusters of mutual dependence have long been regarded as a problem impeding comprehension, testing, maintenance, and reverse engineering. An effective visualization can aid ...
Syed S. Islam, Jens Krinke, David Binkley
ECCV
2008
Springer
16 years 5 months ago
CSDD Features: Center-Surround Distribution Distance for Feature Extraction and Matching
Abstract. We present an interest region operator and feature descriptor called Center-Surround Distribution Distance (CSDD) that is based on comparing feature distributions between...
Robert T. Collins, Weina Ge
ICPR
2006
IEEE
16 years 4 months ago
A Target Dependent Colorspace for Robust Tracking
The selection of the appropriate colorspace for tracking applications has not been an issue previously considered in the literature. Many color representations have been suggested...
Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...