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» Feature selection for linear support vector machines
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PAMI
2008
302views more  PAMI 2008»
13 years 8 months ago
Learning to Detect Moving Shadows in Dynamic Environments
We propose a novel adaptive technique for detecting moving shadows and distinguishing them from moving objects in video sequences. Most methods for detecting shadows work in a stat...
Ajay J. Joshi, Nikolaos Papanikolopoulos
IFIP12
2010
13 years 6 months ago
Learning the Preferences of News Readers with SVM and Lasso Ranking
We attack the task of predicting which news-stories are more appealing to a given audience by comparing ‘most popular stories’, gathered from various online news outlets, over ...
Elena Hensinger, Ilias N. Flaounas, Nello Cristian...
NAR
2011
182views Computer Vision» more  NAR 2011»
12 years 11 months ago
PAIR: the predicted Arabidopsis interactome resource
The predicted Arabidopsis interactome resource (PAIR, http://www.cls.zju.edu.cn/pair/), comprised of 5990 experimentally reported molecular interactions in Arabidopsis thaliana to...
Mingzhi Lin, Xueling Shen, Xin Chen
GECCO
2007
Springer
194views Optimization» more  GECCO 2007»
14 years 2 months ago
Hybrid coevolutionary algorithms vs. SVM algorithms
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
Rui Li, Bir Bhanu, Krzysztof Krawiec
HPDC
2005
IEEE
14 years 1 months ago
Supporting application-tailored grid file system sessions with WSRF-based services
This paper presents novel service-based Grid data management middleware that leverages standards defined by WSRF specifications to create and manage dynamic Grid file system sessi...
Ming Zhao 0002, Vineet Chadha, Renato J. O. Figuei...