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ICCV
2009
IEEE
1824views Computer Vision» more  ICCV 2009»
16 years 9 months ago
Beyond the Euclidean distance: Creating effective visual codebooks using the histogram intersection kernel
Common visual codebook generation methods used in a Bag of Visual words model, e.g. k-means or Gaussian Mixture Model, use the Euclidean distance to cluster features into visual...
Jianxin Wu, James M. Rehg
265
Voted
ICDE
2008
IEEE
214views Database» more  ICDE 2008»
16 years 5 months ago
Efficient Online Subsequence Searching in Data Streams under Dynamic Time Warping Distance
Abstract- Data streams of real numbers are generated naturally in many applications. The technology of online subsequence searching in data streams becomes more and more important ...
Mi Zhou, Man Hon Wong
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
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
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...