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» HITS is Principal Components Analysis
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91
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DAC
2004
ACM
16 years 1 months ago
Statistical timing analysis based on a timing yield model
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 ...
Farid N. Najm, Noel Menezes
234
Voted
JMLR
2010
149views more  JMLR 2010»
14 years 7 months ago
Assessment of Cow's Body Condition Score Through Statistical Shape Analysis and Regression Machines
This study explores the feasibility of estimating the Body Condition Score (BCS) of cows from digital images by employing statistical shape analysis and regression machines. The s...
Sebastiano Battiato, Giovanni Maria Farinella, Giu...
IJON
2006
127views more  IJON 2006»
15 years 16 days ago
Sparse ICA via cluster-wise PCA
In this paper, it is shown that Independent Component Analysis (ICA) of sparse signals (sparse ICA) can be seen as a cluster-wise Principal Component Analysis (PCA). Consequently,...
Massoud Babaie-Zadeh, Christian Jutten, Ali Mansou...
120
Voted
ICASSP
2009
IEEE
15 years 7 months ago
Independent component analysis for noisy speech recognition
Independent component analysis (ICA) is not only popular for blind source separation but also for unsupervised learning when the observations can be decomposed into some independe...
Hsin-Lung Hsieh, Jen-Tzung Chien, Koichi Shinoda, ...
NN
2000
Springer
177views Neural Networks» more  NN 2000»
15 years 9 days ago
Independent component analysis: algorithms and applications
A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors. For reasons...
Aapo Hyvärinen, Erkki Oja