Art

J-GLOBAL ID：201102236846547480   Reference number：11A1607716

Scalable Object Discovery: A Hash-Based Approach to Clustering Co-occurring Visual Words

スケーラブルなオブジェクト発見:視覚語共起クラスタリングのためのハッシュベースアプローチ

Author (3)： FUENTES PINEDA Gibran (Graduate School of Information Systems, The Univ. of Electro-Communications) ,  KOGA Hisashi (Graduate School of Information Systems, The Univ. of Electro-Communications) ,  WATANABE Toshinori (Graduate School of Information Systems, The Univ. of Electro-Communications)
Material： IEICE Transactions on Information and Systems (Institute of Electronics, Information and Communication Engineers)  (IEICE Trans Inf Syst (Inst Electron Inf Commun Eng))
Volume： E94-D  Issue： 10  Page： 2024-2035 (J-STAGE)  Publication year： 2011 
JST Material Number： L1371A  ISSN： 0916-8532  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *scalability ,  *discovery ,  visual sense ,  clustering ,  generation ,  image ,  Data Mining ,  extraction ,  *hashing ,  set ,  model ,  aggregation ,  speedup ,  *object ,  modification
Semi thesaurus term： *object ,  *clustering ,  *共起 ,  word ,  exploration ,  character

JST classification (3)： Pattern recognition  (JE07000S) ,  Statistics  (AB08000H) ,  Theory of sets  (AB10000I)

Reference (27)：

• SIVIC, J. Video google : A text retrieval approach to object matching in videos. Proc. International Conference on Computer Vision, 2003. 2003, 1470-1477
• CHUM, O. Total recall : Automatic query expansion with a generative feature model for object retrieval. Proc. International Conference on Computer Vision, 2007. 2007
• CHUM, O. Large-scale discovery of spatially related images. IEEE Trans. Pattern Anal. Mach. Intell. 2010, 32, 2, 371-377
• CHUM, O. Near duplicate image detection : min-hash and tf-idf weighting. Proc. British Machine Vision Conference, 2008. 2008
• HOFMANN, T. Unsupervised learning by probabilistic latent semantic analysis. Mach. Learn. 2001, 42, 177-196

Terms in the title (4)： オブジェクト ,  発見 ,  視覚 ,  クラスタリング