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» A New Approach to Component Testing
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KR
2010
Springer
15 years 2 months ago
New Advances in Sequential Diagnosis
Sequential diagnosis takes measurements of an abnormal system to identify faulty components, where the goal is to reduce the diagnostic cost, defined here as the number of measur...
Sajjad Ahmed Siddiqi, Jinbo Huang
IJCNN
2006
IEEE
15 years 3 months ago
Nonlinear principal component analysis of noisy data
With very noisy data, having plentiful samples eliminates overfitting in nonlinear regression, but not in nonlinear principal component analysis (NLPCA). To overcome this problem...
William W. Hsieh
IPPS
2005
IEEE
15 years 3 months ago
An Experimental Study of Parallel Biconnected Components Algorithms on Symmetric Multiprocessors (SMPs)
We present an experimental study of parallel biconnected components algorithms employing several fundamental parallel primitives, e.g., prefix sum, list ranking, sorting, connect...
Guojing Cong, David A. Bader
KES
2010
Springer
14 years 8 months ago
Extracting Principal Components from Pseudo-random Data by Using Random Matrix Theory
We develop a methodology to grasp temporal trend in a stock market that changes year to year, or sometimes within a year depending on numerous factors. For this purpose, we employ ...
Mieko Tanaka-Yamawaki
CORR
2007
Springer
167views Education» more  CORR 2007»
14 years 9 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...