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ICMCS
2006
IEEE
151views Multimedia» more  ICMCS 2006»
14 years 2 months ago
Support Vector Machine for Multiple Feature Classifcation
In this paper an effective method of using SVM classifier for multiple feature classification is proposed. Compared with traditional combination methods where all needed base clas...
Bing-Yu Sun, Moon-Chuen Lee
FPL
2009
Springer
117views Hardware» more  FPL 2009»
14 years 1 months ago
Data parallel FPGA workloads: Software versus hardware
Commercial soft processors are unable to effectively exploit the data parallelism present in many embedded systems workloads, requiring FPGA designers to exploit it (laboriously) ...
Peter Yiannacouras, J. Gregory Steffan, Jonathan R...
ICCS
2007
Springer
14 years 2 months ago
Active Learning with Support Vector Machines for Tornado Prediction
In this paper, active learning with support vector machines (SVMs) is applied to the problem of tornado prediction. This method is used to predict which storm-scale circulations yi...
Theodore B. Trafalis, Indra Adrianto, Michael B. R...
VVS
1996
IEEE
202views Visualization» more  VVS 1996»
14 years 23 days ago
Direct Volume Rendering with Shading via Three-Dimensional Textures
A new and easy-to-implement method for direct volume rendering that uses 3D texture maps for acceleration, and incorporates directional lighting, is described. The implementation,...
Allen Van Gelder, Kwansik Kim
AMFG
2005
IEEE
314views Biometrics» more  AMFG 2005»
14 years 2 months ago
Two-Dimensional Non-negative Matrix Factorization for Face Representation and Recognition
Non-negative matrix factorization (NMF) is a recently developed method for finding parts-based representation of non-negative data such as face images. Although it has successfully...
Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou