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ISBI
2004
IEEE
9 years 7 months ago
Predictive Modeling of Anatomic Structures Using Canonical Correlation Analysis
In this paper, we present a method for predictive modeling of anatomic structures using canonical correlation analysis (CCA). Using this technique, certain anatomical structures, ...
Tianming Liu, Dinggang Shen, Christos Davatzikos
ICML
2007
IEEE
9 years 7 months ago
Local dependent components
We introduce a mixture of probabilistic canonical correlation analyzers model for analyzing local correlations, or more generally mutual statistical dependencies, in cooccurring d...
Arto Klami, Samuel Kaski
ICML
2009
IEEE
9 years 7 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,...
MICCAI
2003
Springer
9 years 7 months ago
Exploratory Identification of Cardiac Noise in fMRI Images
A fast exploratory framework for extracting cardiac noise signals contained in rest-case fMRI images is presented. Highly autocorrelated, independent components of the input time ...
Lilla Zöllei, Lawrence P. Panych, W. Eric L. ...
ICPR
2006
IEEE
9 years 7 months ago
3D and Infrared Face Reconstruction from RGB data using Canonical Correlation Analysis
In this paper, we apply a multiple regression method based on Canonical Correlation Analysis (CCA) to face data modelling. CCA is a factor analysis method which exploits the corre...
Michael Reiter, Rene Donner, Georg Langs, Horst Bi...
ICIP
2006
IEEE
9 years 8 months ago
Rotational Invariance in Adaptive fMRI Data Analysis
It has previously been shown that canonical correlation analysis (CCA) works well for detecting neural activity in fMRI data. This is due to the ability of CCA to perform simultan...
Joakim Rydell, Hans Knutsson, Magnus Borga
CVPR
2007
IEEE
9 years 8 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
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