Sciweavers

116 search results - page 1 / 24
» Using Evolution Programs to Learn Local Similarity Measures
Sort
View
ICCBR
2003
Springer
13 years 10 months ago
Using Evolution Programs to Learn Local Similarity Measures
Abstract. The definition of similarity measures is one of the most crucial aspects when developing case-based applications. In particular, when employing similarity measures that ...
Armin Stahl, Thomas Gabel
IJCNN
2006
IEEE
13 years 11 months ago
Correntropy: A Localized Similarity Measure
—The measure of similarity normally utilized in statistical signal processing is based on second order moments. In this paper, we reveal the probabilistic meaning of correntropy ...
Weifeng Liu, Puskal P. Pokharel, Jose C. Principe
IADIS
2008
13 years 6 months ago
Data Mining In Non-Stationary Multidimensional Time Series Using A Rule Similarity Measure
Time series analysis is a wide area of knowledge that studies processes in their evolution. The classical research in the area tends to find global laws underlying the behaviour o...
Nikolay V. Filipenkov
ICIP
2009
IEEE
13 years 2 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
PAKDD
2011
ACM
253views Data Mining» more  PAKDD 2011»
12 years 7 months ago
Balance Support Vector Machines Locally Using the Structural Similarity Kernel
A structural similarity kernel is presented in this paper for SVM learning, especially for learning with imbalanced datasets. Kernels in SVM are usually pairwise, comparing the sim...
Jianxin Wu