174 search results - page 19 / 35 » Application of Feature Transformation and Learning Methods i... |
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
WWW
2008
ACM
14 years 8 months ago
2008
ACM
This paper is concerned with the problem of Imbalanced Classification (IC) in web mining, which often arises on the web due to the "Matthew Effect". As web IC applicatio...
AAAI
2008
13 years 10 months ago
2008
Transfer learning addresses the problem of how to utilize plenty of labeled data in a source domain to solve related but different problems in a target domain, even when the train...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
This article presents a method aiming at quantifying the visual similarity between two images. This kind of problem is recurrent in many applications such as object recognition, i...