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ECCV
2006
Springer
14 years 11 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
ICC
2009
IEEE
123views Communications» more  ICC 2009»
14 years 4 months ago
Blind Spectrum Sensing for Cognitive Radio Based on Signal Space Dimension Estimation
Abstract—Based on information theoretic tools, a new spectrum sensing method is proposed in this paper to detect vacant sub-bands in the radio spectrum1 . Specifically, based on...
Bassem Zayen, Aawatif Hayar, Kimmo Kansanen
ICPR
2008
IEEE
14 years 4 months ago
Learning a discriminative sparse tri-value transform
Simple binary patterns have been successfully used for extracting feature representations for visual object classification. In this paper, we present a method to learn a set of d...
Zhenhua Qu, Guoping Qiu, Pong Chi Yuen
AIME
2007
Springer
14 years 4 months ago
Predictive Modeling of fMRI Brain States Using Functional Canonical Correlation Analysis
We present a novel method for predictive modeling of human brain states from functional neuroimaging (fMRI) data. Extending the traditional canonical correlation analysis of discre...
Sennay Ghebreab, Arnold W. M. Smeulders, Pieter W....
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
14 years 4 months ago
Cross entropy and adaptive variance scaling in continuous EDA
This paper deals with the adaptive variance scaling issue in continuous Estimation of Distribution Algorithms. A phenomenon is discovered that current adaptive variance scaling me...
Yunpeng Cai, Xiaomin Sun, Hua Xu, Peifa Jia