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    » Detecting Flaws and Intruders with Visual Data Analysis
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    VALUETOOLS
    2006
    ACM
    167views Hardware» more  VALUETOOLS 2006»
    Detailed cache simulation for detecting bottleneck, miss reason and optimization potentialities
    14 years 2 months ago
    Detailed cache simulation for detecting bottleneck, miss reason and optimization potentialities
    Download  itec.uka.de
    Cache locality optimization is an efficient way for reducing the idle time of modern processors in waiting for needed data. This kind of optimization can be achieved either on the...
    Jie Tao, Wolfgang Karl
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    TRECVID
    2008
    207views Internet Technology» more  TRECVID 2008»
    Learning TRECVID'08 High-Level Features from YouTube
    13 years 10 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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    BMCBI
    2011
    229views Artificial Intelligence» more  BMCBI 2011»
    The PathOlogist: An Automated Tool for Pathway-Centric Analysis
    13 years 3 months ago
    The PathOlogist: An Automated Tool for Pathway-Centric Analysis
    Download  www.biomedcentral.com
    Background: The PathOlogist is a new tool designed to transform large sets of gene expression data into quantitative descriptors of pathway-level behavior. The tool aims to provid...
    Sharon I. Greenblum, Sol Efroni, Carl F. Schaefer,...
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    SIGMOD
    1999
    ACM
    183views Database» more  SIGMOD 1999»
    OPTICS: Ordering Points To Identify the Clustering Structure
    14 years 22 days ago
    OPTICS: Ordering Points To Identify the Clustering Structure
    Download  www.dbs.informatik.uni-muenchen.de
    Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysi...
    Mihael Ankerst, Markus M. Breunig, Hans-Peter Krie...
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    ISVC
    2009
    Springer
    273views Applied Computing» more  ISVC 2009»
    Motion-Based View-Invariant Articulated Motion Detection and Pose Estimation Using Sparse Point Features
    14 years 3 months ago
    Motion-Based View-Invariant Articulated Motion Detection and Pose Estimation Using Sparse Point Features
    Download  www.ces.clemson.edu
    Abstract. We present an approach for articulated motion detection and pose estimation that uses only motion information. To estimate the pose and viewpoint we introduce a novel mot...
    Shrinivas J. Pundlik, Stanley T. Birchfield
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