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» Properties of Support Vector Machines
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GLOBECOM
2008
IEEE
16 years 20 days ago
Support Vector Machines and Random Forests Modeling for Spam Senders Behavior Analysis
— Unwanted and malicious messages dominate Email traffic and pose a great threat to the utility of email communications. Reputation systems have been getting momentum as the sol...
Yuchun Tang, Sven Krasser, Yuanchen He, Weilai Yan...
ICASSP
2008
IEEE
16 years 19 days ago
Hybrid feature selection for gesture recognition using support vector machines
This paper presents an approach for a multi-cue based two-dimensional gesture recognition that combines two different forms of cues, namely shape cues and motion cues, in a suppor...
Yu Yuan, Kenneth Barner
ICCV
2007
IEEE
16 years 15 days ago
Co-Tracking Using Semi-Supervised Support Vector Machines
This paper treats tracking as a foreground/background classification problem and proposes an online semisupervised learning framework. Initialized with a small number of labeled ...
Feng Tang, Shane Brennan, Qi Zhao, Hai Tao
IJCNN
2006
IEEE
16 years 6 days ago
Support Vector Machines to Weight Voters in a Voting System of Entity Extractors
—Support Vector Machines are used to combine the outputs of multiple entity extractors, thus creating a composite entity extraction system. The composite system has a significant...
Deborah Duong, James Venuto, Ben Goertzel, Ryan Ri...
VLSID
2005
IEEE
105views VLSI» more  VLSID 2005»
15 years 11 months ago
Placement and Routing for 3D-FPGAs Using Reinforcement Learning and Support Vector Machines
The primary advantage of using 3D-FPGA over 2D-FPGA is that the vertical stacking of active layers reduce the Manhattan distance between the components in 3D-FPGA than when placed...
R. Manimegalai, E. Siva Soumya, V. Muralidharan, B...