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AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
15 years 10 months ago
A Discriminant Analysis for Undersampled Data
One of the inherent problems in pattern recognition is the undersampled data problem, also known as the curse of dimensionality reduction. In this paper a new algorithm called pai...
Matthew Robards, Junbin Gao, Philip Charlton
145
Voted
CORR
2006
Springer
102views Education» more  CORR 2006»
15 years 4 months ago
Similarity of Objects and the Meaning of Words
We survey the emerging area of compression-based, parameter-free, similarity distance measures useful in data-mining, pattern recognition, learning and automatic semantics extracti...
Rudi Cilibrasi, Paul M. B. Vitányi
139
Voted
RECOMB
2010
Springer
15 years 11 months ago
A Novel Abundance-Based Algorithm for Binning Metagenomic Sequences Using l-Tuples
Abstract. Metagenomics is the study of microbial communities sampled directly from their natural environment, without prior culturing. Among the computational tools recently develo...
Yu-Wei Wu, Yuzhen Ye
BMCBI
2010
153views more  BMCBI 2010»
15 years 2 months ago
DiffCoEx: a simple and sensitive method to find differentially coexpressed gene modules
Background: Large microarray datasets have enabled gene regulation to be studied through coexpression analysis. While numerous methods have been developed for identifying differen...
Bruno M. Tesson, Rainer Breitling, Ritsert C. Jans...
SIGIR
2010
ACM
15 years 7 months ago
Self-taught hashing for fast similarity search
The ability of fast similarity search at large scale is of great importance to many Information Retrieval (IR) applications. A promising way to accelerate similarity search is sem...
Dell Zhang, Jun Wang, Deng Cai, Jinsong Lu