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BMCBI
2007
125views more  BMCBI 2007»
15 years 15 days 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...
107
Voted
ICPR
2000
IEEE
16 years 1 months ago
Feature Relevance Learning with Query Shifting for Content-Based Image Retrieval
Probabilistic feature relevance learning (PFRL) is an effective technique for adaptively computing local feature relevance for content-based image retrieval. It however becomes le...
Douglas R. Heisterkamp, Jing Peng, H. K. Dai
IJCNN
2000
IEEE
15 years 4 months ago
Fuzzy Clustering Algorithm Extracting Principal Components Independent of Subsidiary Variables
Fuzzy c-varieties (FCV) is one of the clustering algorithms in which the prototypes are multi-dimensional linear varieties. The linear varieties are represented by some local prin...
Chi-Hyon Oh, Hirokazu Komatsu, Katsuhiro Honda, Hi...
CSDA
2007
264views more  CSDA 2007»
15 years 14 days ago
Model-based methods to identify multiple cluster structures in a data set
Model-based clustering exploits finite mixture models for detecting group in a data set. It provides a sound statistical framework which can address some important issues, such as...
Giuliano Galimberti, Gabriele Soffritti
ICSE
1994
IEEE-ACM
15 years 4 months ago
TestTube: A System for Selective Regression Testing
This paper describes a system called TESTTUBE that combines static and dynamic analysis to perform selective retesting of software systems written in C. TESTTUBEfirst identifies w...
Yih-Farn Chen, David S. Rosenblum, Kiem-Phong Vo