ロード中...
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...
保存先:
| 主要な著者: | , , |
|---|---|
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2008
|
| 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 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|