40 search results - page 4 / 8 » Feature Selection via Concave Minimization and Support Vecto... |
183
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ECCV
2008
Springer
16 years 7 months ago
2008
Springer
Abstract. We address the problem of estimating human body pose from a single image with cluttered background. We train multiple local linear regressors for estimating the 3D pose f...
151
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ICASSP
2011
IEEE
14 years 9 months ago
2011
IEEE
In many machine learning applications, like Brain - Computer Interfaces (BCI), only high-dimensional noisy data are available rendering the discrimination task non-trivial. In thi...
144
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ICML
2007
IEEE
16 years 6 months ago
2007
IEEE
We address feature selection problems for classification of small samples and high dimensionality. A practical example is microarray-based cancer classification problems, where sa...
131
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ICDM
2008
IEEE
15 years 11 months ago
2008
IEEE
Zero-norm, defined as the number of non-zero elements in a vector, is an ideal quantity for feature selection. However, minimization of zero-norm is generally regarded as a combi...
140
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ICML
2003
IEEE
16 years 6 months ago
2003
IEEE
We propose a general framework for support vector machines (SVM) based on the principle of multi-objective optimization. The learning of SVMs is formulated as a multiobjective pro...