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    JCDL
    2009
    ACM
    139views Education» more  JCDL 2009»
    Topic model methods for automatically identifying out-of-scope resources
    14 years 8 days ago
    Topic model methods for automatically identifying out-of-scope resources
    Download  www.stanford.edu
    Recent years have seen the rise of subject-themed digital libraries, such as the NSDL pathways and the Digital Library for Earth System Education (DLESE). These libraries often ne...
    Steven Bethard, Soumya Ghosh, James H. Martin, Tam...
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    BMCBI
    2006
    130views more  BMCBI 2006»
    Identifying biological concepts from a protein-related corpus with a probabilistic topic model
    13 years 5 months ago
    Identifying biological concepts from a protein-related corpus with a probabilistic topic model
    Download  www.biomedcentral.com
    Background: Biomedical literature, e.g., MEDLINE, contains a wealth of knowledge regarding functions of proteins. Major recurring biological concepts within such text corpora repr...
    Bin Zheng, David C. McLean Jr, Xinghua Lu
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    ACCV
    2010
    Springer
    232views Computer Vision» more  ACCV 2010»
    Identifying Surprising Events in Videos Using Bayesian Topic Models
    13 years 8 months ago
    Identifying Surprising Events in Videos Using Bayesian Topic Models
    Download  www.cs.huji.ac.il
    Automatic processing of video data is essential in order to allow efficient access to large amounts of video content, a crucial point in such applications as video mining and surve...
    Avishai Hendel, Daphna Weinshall, Shmuel Peleg
    posted by speleg
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    CIVR
    2005
    Springer
    165views Image Analysis» more  CIVR 2005»
    The Use and Utility of High-Level Semantic Features in Video Retrieval
    13 years 7 months ago
    The Use and Utility of High-Level Semantic Features in Video Retrieval
    Download  www.informedia.cs.cmu.edu
    Abstract. This paper investigates the applicability of high-level semantic features for video retrieval using the benchmarked data from TRECVID 2003 and 2004, addressing the contri...
    Michael G. Christel, Alexander G. Hauptmann
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    HICSS
    2002
    IEEE
    90views Biometrics» more  HICSS 2002»
    K-Discovery Using Topic Maps to Identify Distributed Knowledge Structures in Groupware-Based Organizational Memories
    13 years 10 months ago
    K-Discovery Using Topic Maps to Identify Distributed Knowledge Structures in Groupware-Based Organizational Memories
    Download  e-learning.buu.ac.th
    Stefan Smolnik, Ludwig Nastansky
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