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CVPR
2005
IEEE
16 years 1 months ago
2005
IEEE
Subspace methods such as PCA, LDA, ICA have become a standard tool to perform visual learning and recognition. In this paper we propose Representational Oriented Component Analysi...
100
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ICML
2009
IEEE
16 years 18 days ago
2009
IEEE
Multi-task learning (MTL) aims to improve generalization performance by learning multiple related tasks simultaneously. In this paper, we consider the problem of learning shared s...
ICCV
2009
IEEE
16 years 4 months ago
2009
IEEE
We present a method to learn visual attributes (eg.“red”,
“metal”, “spotted”) and object classes (eg. “car”,
“dress”, “umbrella”) together. We assume imag...
100
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GECCO
2006
Springer
15 years 3 months ago
2006
Springer
This paper analyzes the behavior of the XCS classifier system on imbalanced datasets. We show that XCS with standard parameter settings is quite robust to considerable class imbal...
102
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ICML
2010
IEEE
15 years 26 days ago
2010
IEEE
We propose a novel boosting algorithm which improves on current algorithms for weighted voting classification by striking a better balance between classification accuracy and the ...