657 search results - page 70 / 132 » Scaling-Up Support Vector Machines Using Boosting Algorithm |
167
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CVPR
2010
IEEE
15 years 5 months ago
2010
IEEE
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
136
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ESANN
2006
15 years 6 months ago
2006
Spatial filtering is a widely used dimension reduction method in electroencephalogram based brain-computer interface systems. In this paper a new algorithm is proposed, which learn...
152
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ICCTA
2007
IEEE
2007
IEEE
Digital Signal Types Identification Using a Hierarchical SVM-Based Classifier and Efficient Features
15 years 4 months ago
Automatic digital signal type identification (ADSTI) is an important topic for both military and civilian communication applications. Most of proposed techniques (identifiers) can...
156
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ICIP
2010
IEEE
15 years 2 months ago
2010
IEEE
Feature selection is an important issue for object detection. In this paper, we propose an effective wrapper-based feature selection scheme using Binary Particle Swarm Optimizatio...
152
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CIBCB
2005
IEEE
15 years 10 months ago
2005
IEEE
Feature selection is an important preprocessing technique for many pattern recognition problems. When the number of features is very large while the number of samples is relatively...