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ECCV
2004
Springer
14 years 9 months ago
Dimensionality Reduction by Canonical Contextual Correlation Projections
A linear, discriminative, supervised technique for reducing feature vectors extracted from image data to a lower-dimensional representation is proposed. It is derived from classica...
Marco Loog, Bram van Ginneken, Robert P. W. Duin
DATE
2005
IEEE
139views Hardware» more  DATE 2005»
14 years 1 months ago
Statistical Timing Analysis with Extended Pseudo-Canonical Timing Model
— State of the art statistical timing analysis (STA) tools often yield less accurate results when timing variables become correlated due to global source of variations and path r...
Lizheng Zhang, Weijen Chen, Yuhen Hu, Charlie Chun...
ESANN
2003
13 years 8 months ago
Kernel PLS variants for regression
Abstract. We focus on covariance criteria for finding a suitable subspace for regression in a reproducing kernel Hilbert space: kernel principal component analysis, kernel partial...
Luc Hoegaerts, Johan A. K. Suykens, Joos Vandewall...
CVPR
2008
IEEE
14 years 9 months ago
Correlational spectral clustering
We present a new method for spectral clustering with paired data based on kernel canonical correlation analysis, called correlational spectral clustering. Paired data are common i...
Matthew B. Blaschko, Christoph H. Lampert
WACV
2012
IEEE
12 years 2 months ago
Kernel analysis over Riemannian manifolds for visual recognition of actions, pedestrians and textures
A convenient way of analysing Riemannian manifolds is to embed them in Euclidean spaces, with the embedding typically obtained by flattening the manifold via tangent spaces. This...
Mehrtash Tafazzoli Harandi, Conrad Sanderson, Arno...