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ICPR
2004
IEEE
14 years 12 months ago
Missing Microarray Data Estimation Based on Projection onto Convex Sets Method
DNA microarrays have gained widespread uses in biological studies. Missing values in a microarray experiment must be estimated before further analysis. In this paper, we propose a...
Alan Wee-Chung Liew, Hong Yan, Xiangchao Gan
GRC
2008
IEEE
13 years 12 months ago
Towards Real-time Performance of Data Value Hiding for Frequent Data Updates
Hiding data values in privacy-preserving data mining (PPDM) protects information against unauthorized attacks while maintaining analytical data properties. The most popular models...
Jie Wang, Justin Zhan, Jun Zhang
CVPR
2005
IEEE
15 years 27 days ago
Robust L1 Norm Factorization in the Presence of Outliers and Missing Data by Alternative Convex Programming
Matrix factorization has many applications in computer vision. Singular Value Decomposition (SVD) is the standard algorithm for factorization. When there are outliers and missing ...
Qifa Ke, Takeo Kanade
CVPR
2010
IEEE
13 years 9 months ago
Efficient computation of robust low-rank matrix approximations in the presence of missing data using the L1 norm
The calculation of a low-rank approximation of a matrix is a fundamental operation in many computer vision applications. The workhorse of this class of problems has long been the ...
Anders Eriksson, Anton van den Hengel