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CIBCB
2005
IEEE
15 years 10 months ago
Feature Selection for Microarray Data Using Least Squares SVM and Particle Swarm Optimization
Feature selection is an important preprocessing technique for many pattern recognition problems. When the number of features is very large while the number of samples is relatively...
E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao
DATE
2005
IEEE
114views Hardware» more  DATE 2005»
15 years 10 months ago
A Two-Level Modeling Approach to Analog Circuit Performance Macromodeling
In this paper, we present a two-level modeling approach to performance macromodeling based on radial basis function Support Vector Machine (SVM). The two-level model consists of a...
Mengmeng Ding, Ranga Vemuri
ICIP
2005
IEEE
15 years 10 months ago
Source camera identification based on CFA interpolation
In this work, we focus our interest on blind source camera identification problem by extending our results in the direction of [1]. The interpolation in the color surface of an im...
Sevinc Bayram, Husrev T. Sencar, Nasir D. Memon, I...
AVBPA
2005
Springer
316views Biometrics» more  AVBPA 2005»
15 years 10 months ago
Local Feature Based 3D Face Recognition
This paper presents a 3D face recognition system based on geometrically localized facial features. We propose the feature extraction procedure using the geometrical characteristics...
Yonguk Lee, Hwanjong Song, Ukil Yang, Hyungchul Sh...
IDEAL
2005
Springer
15 years 10 months ago
Exploiting Sequence Dependencies in the Prediction of Peroxisomal Proteins
Prediction of peroxisomal matrix proteins generally depends on the presence of one of two distinct motifs at the end of the amino acid sequence. PTS1 peroxisomal proteins have a we...
Mark Wakabayashi, John Hawkins, Stefan Maetschke, ...