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» On Computability of Pattern Recognition Problems
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CIBCB
2005
IEEE
15 years 8 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
LPAR
2004
Springer
15 years 8 months ago
Second-Order Matching via Explicit Substitutions
Abstract. Matching is a basic operation extensively used in computation. Second-order matching, in particular, provides an adequate environment for expressing program transformatio...
Flávio L. C. de Moura, Fairouz Kamareddine,...
TNN
2008
141views more  TNN 2008»
15 years 3 months ago
MPCA: Multilinear Principal Component Analysis of Tensor Objects
This paper introduces a multilinear principal component analysis (MPCA) framework for tensor object feature extraction. Objects of interest in many computer vision and pattern rec...
Haiping Lu, Konstantinos N. Plataniotis, Anastasio...
PR
2002
91views more  PR 2002»
15 years 2 months ago
Fuzzy points: algebra and application
A fuzzy point is a region representing the uncertain location of a normal Euclidean point. A fuzzy point in the plane is considered to be a closed disk (a circle and its interior)...
Robert E. Mercer, John L. Barron, Aiden A. Bruen, ...
WCE
2007
15 years 4 months ago
Face Recognition using Discrete Cosine Transform plus Linear Discriminant Analysis
—Face recognition is a biometric identification method which among the other methods such as, finger print identification, speech recognition, signature and hand written recognit...
M. Hajiarbabi, J. Askari, S. Sadri, M. Saraee