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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...

Πλήρης περιγραφή

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Kodipaka, Santhosh, Banerjee, Arunava, Vemuri, Baba C.
Μορφή: Artigo
Γλώσσα:Inglês
Έκδοση: 2008
Θέματα:
Διαθέσιμο Online: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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