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» Feature Selection for SVMs
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158
Voted
VTS
2007
IEEE
203views Hardware» more  VTS 2007»
15 years 10 months ago
Multiple Bit Upset Tolerant Memory Using a Selective Cycle Avoidance Based SEC-DED-DAEC Code
Conventional error correcting code (ECC) schemes used in memories and caches cannot correct double bit errors caused by a single event upset (SEU). As memory density increases, mu...
Avijit Dutta, Nur A. Touba
PSIVT
2007
Springer
126views Multimedia» more  PSIVT 2007»
15 years 10 months ago
Segmentation of Scanned Insect Footprints Using ART2 for Threshold Selection
Abstract. In a process of insect footprint recognition, footprint segments need to be extracted from scanned insect footprints in order to find out appropriate features for classi...
Bok-Suk Shin, Eui-Young Cha, Young Woon Woo, Reinh...
113
Voted
TREC
2003
15 years 6 months ago
Identifying Gene Function Descriptions by Probability-based Sentence Selection
This paper proposes an approach to the secondary task in the TREC Genomics Track. We regard the task as identification of the sentences describing gene functions (i.e., GeneRIFs)...
Kazuhiro Seki, Nihar Sheth, Javed Mostafa
CORR
2008
Springer
102views Education» more  CORR 2008»
15 years 4 months ago
Spreadsheet modelling for solving combinatorial problems: The vendor selection problem
Spreadsheets have grown up and became very powerful and easy to use tools in applying analytical techniques for solving business problems. Operations managers, production managers...
Pandelis G. Ipsilandis
MVA
2000
212views Computer Vision» more  MVA 2000»
15 years 4 months ago
Edge-Based Segmentation of Textured Images Using Optimally Selected Gabor Filters
In this paper, we propose a technique for segmenting visual textures using features extracted from the reponses of Ga,bor filters, appropria.tely selectecl to be tuned to texture ...
Bertin Rodolphe Okombi-Diba, Juichi Miyamichi, Ken...