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» On Feature Extraction via Kernels
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ICML
2009
IEEE
14 years 10 months ago
Robust feature extraction via information theoretic learning
In this paper, we present a robust feature extraction framework based on informationtheoretic learning. Its formulated objective aims at simultaneously maximizing the Renyi's...
Xiaotong Yuan, Bao-Gang Hu
PAMI
2007
131views more  PAMI 2007»
13 years 9 months ago
The Gray-Code Filter Kernels
—In this paper, we introduce a family of filter kernels—the Gray-Code Kernels (GCK) and demonstrate their use in image analysis. Filtering an image with a sequence of Gray-Code...
Gil Ben-Artzi, Hagit Hel-Or, Yacov Hel-Or
LION
2010
Springer
209views Optimization» more  LION 2010»
14 years 2 months ago
Feature Extraction from Optimization Data via DataModeler's Ensemble Symbolic Regression
We demonstrate a means of knowledge discovery through feature extraction that exploits the search history of an optimization run. We regress a symbolic model ensemble from optimiza...
Kalyan Veeramachaneni, Katya Vladislavleva, Una-Ma...
NECO
1998
151views more  NECO 1998»
13 years 9 months ago
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
We describe a new method for performing a nonlinear form of Principal Component Analysis. By the use of integral operator kernel functions, we can e ciently compute principal comp...
Bernhard Schölkopf, Alex J. Smola, Klaus-Robe...
ETRA
2004
ACM
84views Biometrics» more  ETRA 2004»
14 years 3 months ago
Visual feature extraction via eye tracking for saliency driven 2D/3D registration
Adrian James Chung, Fani Deligianni, Xiao-Peng Hu,...