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BMCBI
2006
150views more  BMCBI 2006»
13 years 10 months ago
Protein structure similarity from principle component correlation analysis
Background: Owing to rapid expansion of protein structure databases in recent years, methods of structure comparison are becoming increasingly effective and important in revealing...
Xiaobo Zhou, James Chou, Stephen T. C. Wong
ICPR
2000
IEEE
14 years 12 months ago
Sign of Gaussian Curvature from Eigen Plane Using Principal Components Analysis
This paper describes a new method to recover the sign of the local Gaussian curvature at each point on the visible surface of a 3-D object. Multiple (p > 3) shaded images are a...
Shinji Fukui, Yuji Iwahori, Akira Iwata, Robert J....
STEP
2003
IEEE
14 years 4 months ago
On Analysis of Design Component Contracts: A Case Study
Software patterns are a new design paradigm used to solve problems that arise when developing software within a particular context. Patterns capture the static and dynamic structu...
Jing Dong, Paulo S. C. Alencar, Donald D. Cowan
CORR
2007
Springer
167views Education» more  CORR 2007»
13 years 10 months ago
Optimal Solutions for Sparse Principal Component Analysis
Given a sample covariance matrix, we examine the problem of maximizing the variance explained by a linear combination of the input variables while constraining the number of nonze...
Alexandre d'Aspremont, Francis R. Bach, Laurent El...
NN
2008
Springer
201views Neural Networks» more  NN 2008»
13 years 10 months ago
Learning representations for object classification using multi-stage optimal component analysis
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
Yiming Wu, Xiuwen Liu, Washington Mio