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CVPR
2007
IEEE
14 years 9 months ago
Tensor Canonical Correlation Analysis for Action Classification
We introduce a new framework, namely Tensor Canonical Correlation Analysis (TCCA) which is an extension of classical Canonical Correlation Analysis (CCA) to multidimensional data ...
Tae-Kyun Kim, Shu-Fai Wong, Roberto Cipolla
ICASSP
2009
IEEE
14 years 2 months ago
Fusion of fMRI, sMRI, and EEG data using canonical correlation analysis
Typically data acquired through imaging techniques such as functional magnetic resonance imaging (fMRI), structural MRI (sMRI), and electroencephalography (EEG) are analyzed separ...
Nicolle M. Correa, Yi-Ou Li, Tülay Adali, Vin...
RECOMB
2001
Springer
14 years 8 months ago
Analysis techniques for microarray time-series data
We address possible limitations of publicly available data sets of yeast gene expression. We study the predictability of known regulators via time-series analysis, and show that l...
Vladimir Filkov, Steven Skiena, Jizu Zhi
TCBB
2010
106views more  TCBB 2010»
13 years 6 months ago
Predicting Novel Human Gene Ontology Annotations Using Semantic Analysis
—The correct interpretation of many molecular biology experiments depends in an essential way on the accuracy and consistency of the existing annotation databases. Such databases...
Bogdan Done, Purvesh Khatri, Arina Done, Sorin Dra...
BMCBI
2008
164views more  BMCBI 2008»
13 years 7 months ago
Word correlation matrices for protein sequence analysis and remote homology detection
Background: Classification of protein sequences is a central problem in computational biology. Currently, among computational methods discriminative kernel-based approaches provid...
Thomas Lingner, Peter Meinicke