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    TRECVID
    2008
    207views Internet Technology» more  TRECVID 2008»
    Learning TRECVID'08 High-Level Features from YouTube
    13 years 6 months ago
    Learning TRECVID'08 High-Level Features from YouTube
    Download  www-nlpir.nist.gov
    Run No. Run ID Run Description infMAP (%) training on TV08 data 1 IUPR-TV-M SIFT visual words with maximum entropy 6.1 2 IUPR-TV-MF SIFT with maximum entropy, fused with color+tex...
    Adrian Ulges, Christian Schulze, Markus Koch, Thom...
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    DAGSTUHL
    2003
    98views Software Engineering» more  DAGSTUHL 2003»
    Towards Imitation Learning from a Viewpoint of an Internal Observer
    13 years 6 months ago
    Towards Imitation Learning from a Viewpoint of an Internal Observer
    Download  www.er.ams.eng.osaka-u.ac.jp
    How an internal observer, that is not given any a priori knowledge or interpretation of what its sensors receives, learn to imitate seems a formidable issue from a viewpoint of a c...
    Yuichiro Yoshikawa, Minoru Asada, Koh Hosoda
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    ICSE
    2005
    IEEE-ACM
    106views Software Engineering» more  ICSE 2005»
    Observations and lessons learned from automated testing
    13 years 11 months ago
    Observations and lessons learned from automated testing
    Download  www.iro.umontreal.ca
    This report addresses some of our observations made in a dozen of projects in the area of software testing, and more specifically, in automated testing. It documents, analyzes and...
    Stefan Berner, Roland Weber, Rudolf K. Keller
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    AGILEDC
    2006
    IEEE
    134views Software Engineering» more  AGILEDC 2006»
    What Lessons Can the Agile Community Learn from A Maverick Fighter Pilot?
    13 years 11 months ago
    What Lessons Can the Agile Community Learn from A Maverick Fighter Pilot?
    Download  www.steveadolph.com
    For the agile software development community, agility is defined by the values expressed in the agile manifesto. But in concrete terms, what does it mean for a software project to...
    Steve Adolph
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    PAMI
    2007
    186views more  PAMI 2007»
    Value-Directed Human Behavior Analysis from Video Using Partially Observable Markov Decision Processes
    13 years 4 months ago
    Value-Directed Human Behavior Analysis from Video Using Partially Observable Markov Decision Processes
    Download  people.ee.duke.edu
    —This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
    Jesse Hoey, James J. Little
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