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Insights from Classifying Visual Concepts with Multiple Kernel Learning

Combining information from various image features has become a standard technique in concept recognition tasks. However, the optimal way of fusing the resulting kernel functions is usually unknown in practical applications. Multiple kernel learning (MKL) techniques allow to determine an optimal line...

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書誌詳細
主要な著者: Binder, Alexander, Nakajima, Shinichi, Kloft, Marius, Müller, Christina, Samek, Wojciech, Brefeld, Ulf, Müller, Klaus-Robert, Kawanabe, Motoaki
フォーマット: Artigo
言語:Inglês
出版事項: Public Library of Science 2012
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC3427351/
https://ncbi.nlm.nih.gov/pubmed/22936970
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0038897
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