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BIOINFORMATICS
2004
119views more  BIOINFORMATICS 2004»
13 years 10 months ago
Analysis of variance components in gene expression data
Motivation: A microarray experiment is a multi-step process, and each step is a potential source of variation. There are two major sources of variation: biological variation and t...
James J. Chen, Robert R. Delongchamp, Chen-An Tsai...
CVPR
2008
IEEE
14 years 5 months ago
Unified Principal Component Analysis with generalized Covariance Matrix for face recognition
Recently, 2DPCA and its variants have attracted much attention in face recognition area. In this paper, some efforts are made to discover the underlying fundaments of these method...
Shiguang Shan, Bo Cao, Yu Su, Laiyun Qing, Xilin C...
ICCV
2011
IEEE
12 years 10 months ago
Localized Principal Component Analysis based Curve Evolution: A Divide and Conquer Approach
We propose a novel localized principal component analysis (PCA) based curve evolution approach which evolves the segmenting curve semi-locally within various target regions (divis...
Vikram Appia, Balaji Ganapathy, Tracy Faber, Antho...
NIPS
2004
14 years 5 days ago
Linear Multilayer Independent Component Analysis for Large Natural Scenes
In this paper, linear multilayer ICA (LMICA) is proposed for extracting independent components from quite high-dimensional observed signals such as large-size natural scenes. Ther...
Yoshitatsu Matsuda, Kazunori Yamaguchi
FLAIRS
1998
14 years 4 days ago
The Program Analysis Tool for Reuse: Identifying Reusable Components
Software reuse has been demonstrated to increase productivity, reduce costs, and improve software quality. The research that has addressed this problem has concentrated on code cr...
Letha H. Etzkorn, Carl G. Davis, Lisa L. Bowen, Ja...