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    BMVC
    2010
    219views Computer Vision» more  BMVC 2010»
    Vision-Based Behavior Prediction in Urban Traffic Environments by Scene Categorization
    14 years 10 months ago
    Vision-Based Behavior Prediction in Urban Traffic Environments by Scene Categorization
    Download  bmvc10.dcs.aber.ac.uk
    We propose a method for vision-based scene understanding in urban traffic environments that predicts the appropriate behavior of a human driver in a given visual scene. The method...
    Martin Heracles, Fernando Martinelli, Jannik Frits...
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    81
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    ICIP
    2010
    IEEE
    192views Image Processing» more  ICIP 2010»
    Fast traumatic brain injury CT slice indexing via anatomical feature classification
    14 years 10 months ago
    Fast traumatic brain injury CT slice indexing via anatomical feature classification
    Download  www.comp.nus.edu.sg
    Computed tomography (CT) is used widely in traumatic brain injury diagnosis. One axial brain CT scan consists of multiple slices with different heights along the brain axial direc...
    Ruizhe Liu, Shimiao Li, Chew Lim Tan, Boon Chuan P...
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    141
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    CVPR
    2012
    IEEE
    248views Computer Vision» more  CVPR 2012»
    A codebook-free and annotation-free approach for fine-grained image categorization
    13 years 3 months ago
    A codebook-free and annotation-free approach for fine-grained image categorization
    Download  vision.stanford.edu
    Fine-grained categorization refers to the task of classifying objects that belong to the same basic-level class (e.g. different bird species) and share similar shape or visual app...
    Bangpeng Yao, Gary R. Bradski, Fei-Fei Li
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    PODS
    2002
    ACM
    98views Database» more  PODS 2002»
    On Propagation of Deletions and Annotations Through Views
    16 years 27 days ago
    On Propagation of Deletions and Annotations Through Views
    Download  homepages.inf.ed.ac.uk
    We study two classes of view update problems in relational databases. We are given a source database S, a monotone query Q, and the view Q(S) generated by the query. The first pro...
    Peter Buneman, Sanjeev Khanna, Wang Chiew Tan
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    128
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    JCSS
    2008
    138views more  JCSS 2008»
    Reducing mechanism design to algorithm design via machine learning
    15 years 22 days ago
    Reducing mechanism design to algorithm design via machine learning
    Download  www.cc.gatech.edu
    We use techniques from sample-complexity in machine learning to reduce problems of incentive-compatible mechanism design to standard algorithmic questions, for a broad class of re...
    Maria-Florina Balcan, Avrim Blum, Jason D. Hartlin...
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