327 search results - page 20 / 66 » Privacy-Preserving Singular Value Decomposition |
133
click to vote
ICRA
2010
IEEE
15 years 2 months ago
2010
IEEE
— Classically, the inverse kinematics is performed by computing the singular value decomposition of the matrix to invert. This enables a very simple writing of the algorithm. How...
130
click to vote
ICIP
2010
IEEE
15 years 2 months ago
2010
IEEE
A no-reference image metric based on the singular value decomposition of local image gradients is proposed in this paper. This metric provides a quantitative measure of true image...
149
click to vote
CORR
2010
Springer
15 years 2 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 ...
138
click to vote
CORR
2008
Springer
15 years 4 months ago
2008
Springer
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
133
click to vote
ICPR
2004
IEEE
16 years 5 months ago
2004
IEEE
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...