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Large Margin Pursuit for a Conic Section Classifier
Learning a discriminant becomes substantially more difficult when the datasets are high-dimensional and the available samples are few. This is often the case in computer vision and medical diagnosis applications. A novel Conic Section classifier (CSC) was recently introduced in the literature to han...
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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2008
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| 主題: | |
| オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2638098/ https://ncbi.nlm.nih.gov/pubmed/19255652 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/CVPR.2008.4587406 |
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