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    COLING
    2010
    160views Computational Linguistics» more  COLING 2010»
    Shallow Information Extraction from Medical Forum Data
    13 years 4 months ago
    Shallow Information Extraction from Medical Forum Data
    Download  nlp.cs.illinois.edu
    We study a novel shallow information extraction problem that involves extracting sentences of a given set of topic categories from medical forum data. Given a corpus of medical fo...
    Parikshit Sondhi, Manish Gupta, ChengXiang Zhai, J...
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    CVPR
    2010
    IEEE
    283views Computer Vision» more  CVPR 2010»
    Detecting and Parsing Architecture at City Scale from Range Data
    14 years 5 months ago
    Detecting and Parsing Architecture at City Scale from Range Data
    Download  www.cs.stevens.edu
    We present a method for detecting and parsing buildings from unorganized 3D point clouds into a compact, hierarchical representation that is useful for high-level tasks. The input...
    Alexander Toshev, Philippos Mordohai, Ben Taskar
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    PROMISE
    2010
    160views Software Engineering» more  PROMISE 2010»
    On the value of learning from defect dense components for software defect prediction
    13 years 3 months ago
    On the value of learning from defect dense components for software defect prediction
    Download  menzies.us
    BACKGROUND: Defect predictors learned from static code measures can isolate code modules with a higher than usual probability of defects. AIMS: To improve those learners by focusi...
    Hongyu Zhang, Adam Nelson, Tim Menzies
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    ISMB
    1993
    164views Computational Biology» more  ISMB 1993»
    Transmembrane Segment Prediction from Protein Sequence Data
    13 years 10 months ago
    Transmembrane Segment Prediction from Protein Sequence Data
    Download  www.aaai.org
    Weconsider tile automatedidentification of transmembrane domains in membrane protein sequences. 324 proteins (containing 1585 segrrmnts) werc examined, representing every protein ...
    Sholom M. Weiss, Dawn M. Cohen, Nitin Indurkhya
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    RAS
    2008
    123views more  RAS 2008»
    Fusion of aerial images and sensor data from a ground vehicle for improved semantic mapping
    13 years 8 months ago
    Fusion of aerial images and sensor data from a ground vehicle for improved semantic mapping
    Download  www.aass.oru.se
    This work investigates the use of semantic information to link ground level occupancy maps and aerial images. A ground level semantic map, which shows open ground and indicates th...
    Martin Persson, Tom Duckett, Achim J. Lilienthal
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