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» Symmetric two dimensional linear discriminant analysis (2DLD...
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PAA
2002
13 years 5 months ago
Hierarchical Fusion of Multiple Classifiers for Hyperspectral Data Analysis
: Many classification problems involve high dimensional inputs and a large number of classes. Multiclassifier fusion approaches to such difficult problems typically centre around s...
Shailesh Kumar, Joydeep Ghosh, Melba M. Crawford
CVPR
2001
IEEE
14 years 8 months ago
A New 3-D Pattern Recognition Technique With Application to Computer Aided Colonoscopy
To utilize CT or MRI images for computer aided diagnosis applications, robust features that represent 3-D image data need to be constructed and subsequently used by a classificati...
Salih Burak Göktürk, Carlo Tomasi
TCOM
2010
114views more  TCOM 2010»
13 years 28 days ago
Achieving near-capacity performance on multiple-antenna channels with a simple concatenation scheme
This paper proposes a capacity-approaching, yet simple scheme for multi-input multiple-output (MIMO) channels. The proposed scheme is based on a concatenation of a mixture of short...
Nghi H. Tran, Tho Le-Ngoc, Tad Matsumoto, Ha H. Ng...
ICIP
2004
IEEE
14 years 7 months ago
Regularization studies on LDA for face recognition
It is well-known that the applicability of Linear Discriminant Analysis (LDA) to high-dimensional pattern classification tasks such as face recognition (FR) often suffers from the...
Juwei Lu, Konstantinos N. Plataniotis, Anastasios ...
BIOINFORMATICS
2006
92views more  BIOINFORMATICS 2006»
13 years 6 months ago
What should be expected from feature selection in small-sample settings
Motivation: High-throughput technologies for rapid measurement of vast numbers of biological variables offer the potential for highly discriminatory diagnosis and prognosis; howev...
Chao Sima, Edward R. Dougherty