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COLT
2007
Springer
15 years 4 months ago
How Good Is a Kernel When Used as a Similarity Measure?
Recently, Balcan and Blum [1] suggested a theory of learning based on general similarity functions, instead of positive semi-definite kernels. We study the gap between the learnin...
Nathan Srebro
ICMLA
2008
14 years 11 months ago
A Weighted Distance Measure for Calculating the Similarity of Sparsely Distributed Trajectories
This article presents a method for the calculating similarity of two trajectories. The method is especially designed for a situation where the points of the trajectories are distr...
Pekka Siirtola, Perttu Laurinen, Juha Röning
DMIN
2006
151views Data Mining» more  DMIN 2006»
14 years 11 months ago
Rough Set Theory: Approach for Similarity Measure in Cluster Analysis
- Clustering of data is an important data mining application. One of the problems with traditional partitioning clustering methods is that they partition the data into hard bound n...
Shuchita Upadhyaya, Alka Arora, Rajni Jain
JVCIR
2008
137views more  JVCIR 2008»
14 years 10 months ago
A fast MPEG-7 dominant color extraction with new similarity measure for image retrieval
Dominant color descriptor (DCD) is one of the color descriptors proposed by MPEG-7 that has been extensively used for image retrieval. Among the color descriptors, DCD describes t...
Nai-Chung Yang, Wei-Han Chang, Chung Ming Kuo, Tsi...
ICIP
2009
IEEE
14 years 7 months ago
Learning weighted similarity measurements for unconstrained face recognition
Unconstrained face recognition is the problem of deciding if an image pair is showing the same individual or not, without having class specific training material or knowing anythi...
Andre Störmer, Gerhard Rigoll