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    CVPR
    2005
    IEEE
    212views Computer Vision» more  CVPR 2005»
    A Two Level Approach for Scene Recognition
    14 years 11 months ago
    A Two Level Approach for Scene Recognition
    Download  www.cs.jhu.edu
    Classifying pictures into one of several semantic categories is a classical image understanding problem. In this paper, we present a stratified approach to both binary (outdoor-in...
    Le Lu, Kentaro Toyama, Gregory D. Hager
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    PAMI
    2006
    136views more  PAMI 2006»
    Data Driven Image Models through Continuous Joint Alignment
    13 years 9 months ago
    Data Driven Image Models through Continuous Joint Alignment
    Download  www.cs.umass.edu
    This paper presents a family of techniques that we call congealing for modeling image classes from data. The idea is to start with a set of images and make them appear as similar a...
    Erik G. Learned-Miller
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    FLAIRS
    2008
    127views Artificial Intelligence» more  FLAIRS 2008»
    Learning in the Lexical-Grammatical Interface
    13 years 11 months ago
    Learning in the Lexical-Grammatical Interface
    Download  www.aaai.org
    Children are facile at both discovering word boundaries and using those words to build higher-level structures in tandem. Current research treats lexical acquisition and grammar i...
    Tom Armstrong, Tim Oates
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    KDD
    2009
    ACM
    132views Data Mining» more  KDD 2009»
    Learning patterns in the dynamics of biological networks
    14 years 9 months ago
    Learning patterns in the dynamics of biological networks
    Download  www-ai.cs.uni-dortmund.de
    Our dynamic graph-based relational mining approach has been developed to learn structural patterns in biological networks as they change over time. The analysis of dynamic network...
    Chang Hun You, Lawrence B. Holder, Diane J. Cook
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    IJCAI
    2003
    193views Artificial Intelligence» more  IJCAI 2003»
    When Discriminative Learning of Bayesian Network Parameters Is Easy
    13 years 10 months ago
    When Discriminative Learning of Bayesian Network Parameters Is Easy
    Download  dli.iiit.ac.in
    Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
    Hannes Wettig, Peter Grünwald, Teemu Roos, Pe...
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