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» Multi-view Regression Via Canonical Correlation Analysis
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COLT
2007
Springer
13 years 9 months ago
Multi-view Regression Via Canonical Correlation Analysis
In the multi-view regression problem, we have a regression problem where the input variable (which is a real vector) can be partitioned into two different views, where it is assum...
Sham M. Kakade, Dean P. Foster
MM
2009
ACM
233views Multimedia» more  MM 2009»
13 years 8 months ago
Enhancing semantic and geographic annotation of web images via logistic canonical correlation regression
Photo community sites such as Flickr and Picasa Web Album host a massive amount of personal photos with millions of new photos uploaded every month. These photos constitute an ove...
Liangliang Cao, Jie Yu, Jiebo Luo, Thomas S. Huang
JMLR
2012
11 years 6 months ago
Structured Sparse Canonical Correlation Analysis
In this paper, we propose to apply sparse canonical correlation analysis (sparse CCA) to an important genome-wide association study problem, eQTL mapping. Existing sparse CCA mode...
Xi Chen, Han Liu, Jaime G. Carbonell
ICML
2009
IEEE
14 years 4 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,...
ESANN
2006
13 years 5 months ago
Stochastic Processes for Canonical Correlation Analysis
We consider two stochastic process methods for performing canonical correlation analysis (CCA). The first uses a Gaussian Process formulation of regression in which we use the cur...
Colin Fyfe, Gayle Leen