1120 search results - page 111 / 224 » Visualization of Support Vector Machines with Unsupervised L... |
133
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ICASSP
2010
IEEE
15 years 2 months ago
2010
IEEE
Sparse coding networks, which utilize unsupervised learning to maximize coding efficiency, have successfully reproduced response properties found in primary visual cortex [1]. Ho...
115
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ICPR
2008
IEEE
15 years 8 months ago
2008
IEEE
In this paper, we report our work on spam filtering with three novel bayesian classification methods: Aggregating One-Dependence Estimators (AODE), Hidden Naïve Bayes (HNB), Loca...
124
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CORR
2008
Springer
15 years 2 months ago
2008
Springer
: Boosting is a general method for improving the accuracy of any given learning algorithm. In this paper we employ combination of Adaboost with Support Vector Machine (SVM) as comp...
104
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ICONIP
2007
15 years 3 months ago
2007
In this paper we eliminate the need for parameter estimation associated with the set covering machine (SCM) by directly minimizing generalization error bounds. Firstly, we consider...
115
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CVPR
2007
IEEE
16 years 4 months ago
2007
IEEE
Many problems in vision involve the prediction of a class label for each frame in an unsegmented sequence. In this paper, we develop a discriminative framework for simultaneous se...