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ECCV
2006
Springer
14 years 9 months ago
Learning Discriminative Canonical Correlations for Object Recognition with Image Sets
Abstract. We address the problem of comparing sets of images for object recognition, where the sets may represent arbitrary variations in an object's appearance due to changin...
Tae-Kyun Kim, Josef Kittler, Roberto Cipolla
ICML
2008
IEEE
14 years 8 months ago
A least squares formulation for canonical correlation analysis
Canonical Correlation Analysis (CCA) is a well-known technique for finding the correlations between two sets of multi-dimensional variables. It projects both sets of variables int...
Liang Sun, Shuiwang Ji, Jieping Ye
COLT
2007
Springer
14 years 1 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
ADBIS
2006
Springer
103views Database» more  ADBIS 2006»
14 years 1 months ago
Bridging the Gap between Comparison and Conforming the Views in View Integration
View integration is a complex, error-prone and time-consuming task. Therefore there is a need to decompose the integration methods into smaller well defined phases where different ...
Peter Bellström
ICASSP
2011
IEEE
12 years 11 months ago
Automatic audio tag classification via semi-supervised canonical density estimation
We propose a novel semi-supervised method for building a statistical model that represents the relationship between sounds and text labels (“tags”). The proposed method, named...
Jun Takagi, Yasunori Ohishi, Akisato Kimura, Masas...