454 search results - page 87 / 91 » Principal Component Analysis Based on L1-Norm Maximization |
ALMOB
2007
13 years 7 months ago
2007
Background: Feature selection plays an undeniably important role in classification problems involving high dimensional datasets such as microarray datasets. For filter-based featu...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
We present a hierarchical generative model for object recognition that is constructed by weakly-supervised learning. A key component is a novel, adaptive patch feature whose width...
RIDE
1996
IEEE
13 years 11 months ago
1996
IEEE
METU INteroperable DBMS (MIND) is a multidatabase system based on OMG's distributed object management architecture. It is implemented on top of a CORBA compliant ORB, namely,...
ICCV
2005
IEEE
14 years 9 months ago
2005
IEEE
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
We propose a novel tracking algorithm that can work robustly in a challenging scenario such that several kinds of appearance and motion changes of an object occur at the same time....