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» On Discriminative Semi-Supervised Classification
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BMCBI
2008
141views more  BMCBI 2008»
13 years 8 months ago
Functional discrimination of membrane proteins using machine learning techniques
Background: Discriminating membrane proteins based on their functions is an important task in genome annotation. In this work, we have analyzed the characteristic features of amin...
M. Michael Gromiha, Yukimitsu Yabuki
CVPR
2008
IEEE
14 years 9 months ago
Unifying discriminative visual codebook generation with classifier training for object category recognition
The idea of representing images using a bag of visual words is currently popular in object category recognition. Since this representation is typically constructed using unsupervi...
Liu Yang, Rong Jin, Rahul Sukthankar, Fréd&...
BMCBI
2008
108views more  BMCBI 2008»
13 years 8 months ago
Signature Evaluation Tool (SET): a Java-based tool to evaluate and visualize the sample discrimination abilities of gene express
Background: The identification of specific gene expression signature for distinguishing sample groups is a dominant field in cancer research. Although a number of tools have been ...
Chih-Hung Jen, Tsun-Po Yang, Chien-Yi Tung, Shu-Ha...
BMCBI
2007
125views more  BMCBI 2007»
13 years 7 months ago
Identification of discriminative characteristics for clusters from biologic data with InforBIO software
Background: There are a number of different methods for generation of trees and algorithms for phylogenetic analysis in the study of bacterial taxonomy. Genotypic information, suc...
Naoto Tanaka, Masataka Uchino, Satoru Miyazaki, Hi...
PR
2008
161views more  PR 2008»
13 years 7 months ago
A study on three linear discriminant analysis based methods in small sample size problem
In this paper, we make a study on three Linear Discriminant Analysis (LDA) based methods: Regularized Discriminant Analysis (RDA), Discriminant Common Vectors (DCV) and Maximal Ma...
Jun Liu, Songcan Chen, Xiaoyang Tan