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» Approximating Component Selection
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BMCBI
2005
201views more  BMCBI 2005»
14 years 9 months ago
Principal component analysis for predicting transcription-factor binding motifs from array-derived data
Background: The responses to interleukin 1 (IL-1) in human chondrocytes constitute a complex regulatory mechanism, where multiple transcription factors interact combinatorially to...
Yunlong Liu, Matthew P. Vincenti, Hiroki Yokota
PPSN
2004
Springer
15 years 3 months ago
Indicator-Based Selection in Multiobjective Search
Abstract. This paper discusses how preference information of the decision maker can in general be integrated into multiobjective search. The main idea is to first define the opti...
Eckart Zitzler, Simon Künzli
CVPR
2004
IEEE
15 years 12 months ago
Wavelet-Based Hierarchical Surface Approximation from Height Fields
This paper presents a novel hierarchical approach to triangular mesh generation from height fields. A waveletbased multiresolution analysis technique is used to estimate local sha...
Sang-Mook Lee, Daniel L. Schmoldt
TFS
2008
109views more  TFS 2008»
14 years 8 months ago
Comments on "Fuzzy Probabilistic Approximation Spaces and Their Information Measures"
Some errors in our original paper in defining relative reduct with information measures are pointed out in this paper. It is shown that in our original work, Theorems 10 and 19 hol...
Qinghua Hu, Zongxia Xie, Daren Yu
CVPR
2003
IEEE
15 years 12 months ago
Generalized Principal Component Analysis (GPCA)
This paper presents an algebro-geometric solution to the problem of segmenting an unknown number of subspaces of unknown and varying dimensions from sample data points. We represen...
René Vidal, Shankar Sastry, Yi Ma