191 search results - page 10 / 39 » Generalized Power Method for Sparse Principal Component Anal... |
109
Voted
NN
2000
Springer
14 years 11 months ago
2000
Springer
ICA (independent component analysis) is a new, simple and powerful idea for analyzing multi-variant data. One of the successful applications is neurobiological data analysis such ...
182
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SIAMJO
2011
14 years 6 months ago
2011
Many applications arising in a variety of fields can be well illustrated by the task of recovering the low-rank and sparse components of a given matrix. Recently, it is discovered...
82
Voted
DAC
2004
ACM
16 years 19 days ago
2004
ACM
Starting from a model of the within-die systematic variations using principal components analysis, a model is proposed for estimation of the parametric yield, and is then applied ...
96
Voted
ICML
2010
IEEE
14 years 12 months ago
2010
IEEE
We investigate the sparse eigenvalue problem which arises in various fields such as machine learning and statistics. Unlike standard approaches relying on approximation of the l0n...
147
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PAMI
2012
13 years 2 months ago
2012
— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...