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» Classification in an informative sample subspace
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ACII
2005
Springer
13 years 8 months ago
A Novel Regularized Fisher Discriminant Method for Face Recognition Based on Subspace and Rank Lifting Scheme
The null space N(St) of total scatter matrix St contains no useful information for pattern classification. So, discarding the null space N(St) results in dimensionality reduction ...
Wen-Sheng Chen, Pong Chi Yuen, Jian Huang, Jian-Hu...
AAAI
2010
13 years 4 months ago
Non-I.I.D. Multi-Instance Dimensionality Reduction by Learning a Maximum Bag Margin Subspace
Multi-instance learning, as other machine learning tasks, also suffers from the curse of dimensionality. Although dimensionality reduction methods have been investigated for many ...
Wei Ping, Ye Xu, Kexin Ren, Chi-Hung Chi, Shen Fur...
CVPR
2006
IEEE
14 years 8 months ago
Accelerated Kernel Feature Analysis
A fast algorithm, Accelerated Kernel Feature Analysis (AKFA), that discovers salient features evidenced in a sample of n unclassified patterns, is presented. Like earlier kernel-b...
Xianhua Jiang, Yuichi Motai, Robert R. Snapp, Xing...
CVPR
2004
IEEE
14 years 8 months ago
Frame Synchronization and Multi-Level Subspace Analysis for Video Based Face Recognition
In this paper, we develop a new video-to-video face recognition algorithm. The major advantage of the video based method is that more information is available in a video sequence ...
Xiaoou Tang, Zhifeng Li
GCB
2005
Springer
74views Biometrics» more  GCB 2005»
14 years 7 days ago
Exploiting scale-free information from expression data for cancer classification
: In most studies concerning expression data analyses information on the variability of gene intensity across samples is usually exploited. This information is sensitive to initial...
Alexey V. Antonov, Igor V. Tetko, Denis Kosykh, Di...