論文

査読有り
2014年

Machine Learning for Visual Concept Recognition and Ranking for Images

Cognitive Technologies
  • Alexander Binder
  • ,
  • Wojciech Samek
  • ,
  • Klaus-Robert Müller
  • ,
  • Motoaki Kawanabe

39
開始ページ
211
終了ページ
223
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1007/978-3-319-06755-1_17
出版者・発行元
Springer Verlag

Recognition of a large set of generic visual concepts in images and ranking of images based on visual semantics is one of the unsolved tasks for future multimedia and scientific applications based on image collections. From that perspective, improvements of the quality of semantic annotations for image data are well matched to the goals of the THESEUS research program with respect to multimedia and scientific services. We will introduce the data-driven and algorithmic challenges inherent in such tasks from a perspective of statistical data analysis and machine learning and discuss approaches relying on kernel-based similarities and discriminative methods which are capable of processing large-scale datasets. © Springer International Publishing Switzerland 2014.

リンク情報
DOI
https://doi.org/10.1007/978-3-319-06755-1_17
URL
http://dblp.uni-trier.de/db/series/cogtech/cogtech331906754.html#series/cogtech/BinderSMK14
ID情報
  • DOI : 10.1007/978-3-319-06755-1_17
  • ISSN : 1611-2482
  • DBLP ID : series/cogtech/BinderSMK14
  • SCOPUS ID : 84907340715

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