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BMCBI
2004
205views more  BMCBI 2004»
15 years 5 months ago
A combinational feature selection and ensemble neural network method for classification of gene expression data
Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
Bing Liu, Qinghua Cui, Tianzi Jiang, Songde Ma
ARTMED
2007
347views more  ARTMED 2007»
15 years 6 months ago
A combined MRI and MRSI based multiclass system for brain tumour recognition using LS-SVMs with class probabilities and feature
Objective: This study investigates the use of automated pattern recognition methods on magnetic resonance data with the ultimate goal to assist clinicians in the diagnosis of brai...
Jan Luts, Arend Heerschap, Johan A. K. Suykens, Sa...
ICMCS
2006
IEEE
132views Multimedia» more  ICMCS 2006»
16 years 2 days ago
Analysis and Evaluation of the Skype and Google-Talk Voip Systems
In this paper, we study Skype and Google Talk, two widely used VoIP systems, and compare their perceptual speech quality with that of our proposed system using UDP packet traces c...
Batu Sat, Benjamin W. Wah
TRECVID
2008
15 years 7 months ago
Learning TRECVID'08 High-Level Features from YouTube
Run No. Run ID Run Description infMAP (%) training on TV08 data 1 IUPR-TV-M SIFT visual words with maximum entropy 6.1 2 IUPR-TV-MF SIFT with maximum entropy, fused with color+tex...
Adrian Ulges, Christian Schulze, Markus Koch, Thom...
MOBICOM
2006
ACM
16 years 6 hour ago
VanetMobiSim: generating realistic mobility patterns for VANETs
In this paper, we present and describe VanetMobiSim, a generator of realistic vehicular movement traces for telecommunication networks simulators. VanetMobiSim mobility descriptio...
Jérôme Härri, Fethi Filali, Chri...