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NIPS
2001
13 years 9 months ago
Sampling Techniques for Kernel Methods
We propose randomized techniques for speeding up Kernel Principal Component Analysis on three levels: sampling and quantization of the Gram matrix in training, randomized rounding...
Dimitris Achlioptas, Frank McSherry, Bernhard Sch&...
SIMVIS
2004
13 years 9 months ago
Virtual Resection with a Deformable Cutting Plane
We describe methods for the specification and modification of virtual resections in medical volume data. These techniques are focused on applications in therapy planning, but are a...
Olaf Konrad-Verse, Arne Littmann, Bernhard Preim
DAC
2004
ACM
14 years 8 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
JMLR
2010
149views more  JMLR 2010»
13 years 2 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»
13 years 7 months 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...