613 search results - page 33 / 123 » The Pre-Image Problem in Kernel Methods |
CSDA
2007
13 years 8 months ago
2007
Redundancy analysis (RA) is a versatile technique used to predict multivariate criterion variables from multivariate predictor variables. The reduced-rank feature of RA captures r...
CSDA
2004
13 years 8 months ago
2004
In this investigation, the problem of estimating the probability density function of a function of m independent identically distributed random variables, g(X1, X2, ..., Xm) is co...
NIPS
2003
13 years 10 months ago
2003
Clustering aims at extracting hidden structure in dataset. While the problem of finding compact clusters has been widely studied in the literature, extracting arbitrarily formed ...
ECCV
2004
Springer
14 years 10 months ago
2004
Springer
Correlation is a very effective way to align intensity images. We extend the correlation technique to point set registration using a method we call kernel correlation. Kernel corre...
ICIP
2009
IEEE
14 years 9 months ago
2009
IEEE
Scale-space representation of an image is a significant way to generate features for classification. However, for a specific classification task, the entire scale-space may not be...