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ICML
2009
IEEE
14 years 10 months ago
Multi-view clustering via canonical correlation analysis
Clustering data in high dimensions is believed to be a hard problem in general. A number of efficient clustering algorithms developed in recent years address this problem by proje...
Kamalika Chaudhuri, Sham M. Kakade, Karen Livescu,...
BMCBI
2006
178views more  BMCBI 2006»
13 years 9 months ago
Correlation analysis of two-dimensional gel electrophoretic protein patterns and biological variables
Background: Two-dimensional gel electrophoresis (2DE) is a powerful technique to examine post-translational modifications of complexly modulated proteins. Currently, spot detectio...
Werner W. V. B. Van Belle, Nina N. A. Anensen, Ing...
ECCV
2004
Springer
14 years 11 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
SDM
2009
SIAM
164views Data Mining» more  SDM 2009»
14 years 7 months ago
Time-Decayed Correlated Aggregates over Data Streams.
Data stream analysis frequently relies on identifying correlations and posing conditional queries on the data after it has been seen. Correlated aggregates form an important examp...
Graham Cormode, Srikanta Tirthapura, Bojian Xu
ECCV
2006
Springer
14 years 11 months ago
A Fast Approximation of the Bilateral Filter Using a Signal Processing Approach
The bilateral filter is a nonlinear filter that smoothes a signal while preserving strong edges. It has demonstrated great effectiveness for a variety of problems in computer visio...
Frédo Durand, Sylvain Paris