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» Distance Measures for Well-Distributed Sets
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ICML
2004
IEEE
14 years 9 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
JCB
2006
115views more  JCB 2006»
13 years 8 months ago
Designing an A* Algorithm for Calculating Edit Distance between Rooted-Unordered Trees
Tree structures are useful for describing and analyzing biological objects and processes. Consequently, there is a need to design metrics and algorithms to compare trees. A natura...
Yair Horesh, Ramit Mehr, Ron Unger
ICCV
2003
IEEE
14 years 10 months ago
Minimally-Supervised Classification using Multiple Observation Sets
This paper discusses building complex classifiers from a single labeled example and vast number of unlabeled observation sets, each derived from observation of a single process or...
Chris Stauffer
SIGMOD
2003
ACM
152views Database» more  SIGMOD 2003»
14 years 8 months ago
Using Sets of Feature Vectors for Similarity Search on Voxelized CAD Objects
In modern application domains such as multimedia, molecular biology and medical imaging, similarity search in database systems is becoming an increasingly important task. Especial...
Hans-Peter Kriegel, Stefan Brecheisen, Peer Kr&oum...
KDD
2009
ACM
174views Data Mining» more  KDD 2009»
14 years 3 months ago
Visual exploration of categorical and mixed data sets
For categorical data there does not exist any similarity measure which is as straight forward and general as the numerical distance between numerical items. Due to this it is ofte...
Sara Johansson