Art
J-GLOBAL ID:201402268171068562   Reference number:14A0226448

A Novel Method for Exploring Patch-level Context to Improve Image Categorization Performance

画像カテゴライズ性能向上のためのパッチレベル文脈探索の新手法
Author (5):
Material:
Volume: 133  Issue: 12  Page: 2264-2274 (J-STAGE)  Publication year: 2013 
JST Material Number: S0810A  ISSN: 0385-4221  Document type: Article
Article type: 原著論文  Country of issue: Japan (JPN)  Language: ENGLISH (EN)
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Semi thesaurus term:
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.

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JST classification
Category name(code) classified by JST.
Pattern recognition 
Reference (27):
  • (1) S. Bai, T. Matsumoto, Y. Takeuchi, H. Kudo, and N. Ohnishi: “Incorporating contextual information into bag-of-visual-words framework for effective object categorization”, IEICE Transactions, No. 12, pp. 3060-3068 (2012)
  • (2) O. Boiman, E. Shechtman, and M. Irani: “In defense of nearest-neighbor based image classification”, In CVPR (2008)
  • (3) A. Bosch, A. Zisserman, and X. Munoz: “Scene classification via plsa”, In ECCV, pp. 517-530 (2006)
  • (4) O. Chapelle, P. Haffner, and V. Vapnik: “Svms for histogram-based image classification”, In IEEE transactions on Neural Networks, Vol. 10, pp. 1055-1064 (1999)
  • (5) G. Csurka, C. Dance, L. Fan, J. Williamowski, and C. Bray: “Visual categorization with bags of keypoints”, In Statist. Learning Comput. Vision Workshop (SLCV), pp. 1-22 (2004)
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