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» On the Subgroup Distance Problem
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ICML
2007
IEEE
16 years 4 months ago
Learning distance function by coding similarity
We consider the problem of learning a similarity function from a set of positive equivalence constraints, i.e. 'similar' point pairs. We define the similarity in informa...
Aharon Bar-Hillel, Daphna Weinshall
128
Voted
EDBT
2009
ACM
241views Database» more  EDBT 2009»
15 years 10 months ago
GADDI: distance index based subgraph matching in biological networks
Currently, a huge amount of biological data can be naturally represented by graphs, e.g., protein interaction networks, gene regulatory networks, etc. The need for indexing large ...
Shijie Zhang, Shirong Li, Jiong Yang
ICPR
2008
IEEE
15 years 10 months ago
Contour grouping with shape manifold and distance transform
Object detection in clutter or occlusion is a hard problem in computer vision. We propose an object detection method based on contour grouping. Two stages are included: a novel di...
Zou Qi, Luo Siwei, Huang Yaping, Li Yan
114
Voted
VLDB
2007
ACM
105views Database» more  VLDB 2007»
15 years 10 months ago
Extending Q-Grams to Estimate Selectivity of String Matching with Low Edit Distance
There are many emerging database applications that require accurate selectivity estimation of approximate string matching queries. Edit distance is one of the most commonly used s...
Hongrae Lee, Raymond T. Ng, Kyuseok Shim
150
Voted
EMMCVPR
2005
Springer
15 years 9 months ago
Optimizing the Cauchy-Schwarz PDF Distance for Information Theoretic, Non-parametric Clustering
This paper addresses the problem of efficient information theoretic, non-parametric data clustering. We develop a procedure for adapting the cluster memberships of the data pattern...
Robert Jenssen, Deniz Erdogmus, Kenneth E. Hild II...