429 search results - page 26 / 86 » Unsupervised feature selection for principal components anal... |
115
Voted
DAC
2004
ACM
16 years 4 months 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 ...
132
Voted
ICPR
2000
IEEE
15 years 8 months ago
2000
IEEE
In this paper we introduce a new deformable model, called eigensnake, for segmentation of elongated structures in a probabilistic framework. Instead of snake attraction by speciï¬...
151
Voted
IDA
2009
Springer
15 years 10 months ago
2009
Springer
Abstract. Accurately evaluating statistical independence among random variables is a key component of Independent Component Analysis (ICA). In this paper, we employ a squared-loss ...
207
Voted
PAMI
2012
13 years 6 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...
239
Voted
NECO
2011
14 years 10 months ago
2011
Accurately evaluating statistical independence among random variables is a key element of Independent Component Analysis (ICA). In this paper, we employ a squared-loss variant of ...