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ICDM
2007
IEEE
248views Data Mining» more  ICDM 2007»
13 years 11 months ago
Adapting SVM Classifiers to Data with Shifted Distributions
Many data mining applications can benefit from adapting existing classifiers to new data with shifted distributions. In this paper, we present Adaptive Support Vector Machine (Ada...
Jun Yang 0003, Rong Yan, Alexander G. Hauptmann
FPL
2000
Springer
96views Hardware» more  FPL 2000»
13 years 11 months ago
Generation of Design Suggestions for Coarse-Grain Reconfigurable Architectures
Coarse-grain reconfigurable architectures have been a matter of intense research in the last few years. They promise to be more adequate for computational tasks due to their better...
Reiner W. Hartenstein, Michael Herz, Thomas Hoffma...
JCP
2008
167views more  JCP 2008»
13 years 7 months ago
Accelerated Kernel CCA plus SVDD: A Three-stage Process for Improving Face Recognition
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
Ming Li, Yuanhong Hao
PR
2008
119views more  PR 2008»
13 years 7 months ago
Binary-image comparison with local-dissimilarity quantification
In this paper, we present a method for binary image comparison. For binary images, intensity information is poor and shape extraction is often difficult. Therefore binary images h...
Etienne Baudrier, Frédéric Nicolier,...
IJCV
2007
113views more  IJCV 2007»
13 years 7 months ago
Boosting Sex Identification Performance
This paper presents a method based on AdaBoost to identify the sex of a person from a low resolution grayscale picture of their face. The method described here is implemented in a...
Shumeet Baluja, Henry A. Rowley