139 search results - page 4 / 28 » A Singular Value Thresholding Algorithm for Matrix Completio... |
ICDE
2009
IEEE
14 years 7 months ago
2009
IEEE
Abstract-- In this paper, we propose secure protocols to perform Singular Value Decomposition (SVD) for two parties over horizontally and vertically partitioned data. We propose va...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
Singular Value Decomposition (and Principal Component Analysis) is one of the most widely used techniques for dimensionality reduction: successful and efficiently computable, it ...
IPPS
1999
IEEE
13 years 10 months ago
1999
IEEE
The system of equations that govern kinematically redundant manipulators is commonly solved by nding the singular value decomposition (SVD) of the corresponding Jacobian matrix. T...
IPCV
2008
13 years 7 months ago
2008
Linear Discriminant Analysis(LDA) is well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional data,...
SIAMCOMP
2010
13 years 15 days ago
2010
We present new deterministic algorithms for several cases of the maximum rank matrix completion problem (for short matrix completion), i.e. the problem of assigning values to the ...