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    CVPR
    2006
    IEEE
    208views Computer Vision» more  CVPR 2006»
    Learning Semantic Patterns with Discriminant Localized Binary Projections
    14 years 11 months ago
    Learning Semantic Patterns with Discriminant Localized Binary Projections
    Download  mmlab.ie.cuhk.edu.hk
    In this paper, we present a novel approach to learning semantic localized patterns with binary projections in a supervised manner. The pursuit of these binary projections is refor...
    Shuicheng Yan, Tianqiang Yuan, Xiaoou Tang
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    IJCAI
    1997
    169views Artificial Intelligence» more  IJCAI 1997»
    Learning Topological Maps with Weak Local Odometric Information
    13 years 10 months ago
    Learning Topological Maps with Weak Local Odometric Information
    Download  research.cs.queensu.ca
    cal maps provide a useful abstraction for robotic navigation and planning. Although stochastic mapscan theoreticallybe learned using the Baum-Welch algorithm,without strong prior ...
    Hagit Shatkay, Leslie Pack Kaelbling
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    NIPS
    2008
    143views Information Technology» more  NIPS 2008»
    Integrating Locally Learned Causal Structures with Overlapping Variables
    13 years 10 months ago
    Integrating Locally Learned Causal Structures with Overlapping Variables
    Download  www.andrew.cmu.edu
    In many domains, data are distributed among datasets that share only some variables; other recorded variables may occur in only one dataset. While there are asymptotically correct...
    Robert E. Tillman, David Danks, Clark Glymour
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    FLAIRS
    2006
    144views Artificial Intelligence» more  FLAIRS 2006»
    Decomposing Local Probability Distributions in Bayesian Networks for Improved Inference and Parameter Learning
    13 years 10 months ago
    Decomposing Local Probability Distributions in Bayesian Networks for Improved Inference and Parameter Learning
    Download  www.aaai.org
    A major difficulty in building Bayesian network models is the size of conditional probability tables, which grow exponentially in the number of parents. One way of dealing with th...
    Adam Zagorecki, Mark Voortman, Marek J. Druzdzel
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    TIP
    2008
    256views more  TIP 2008»
    Image-Based Human Age Estimation by Manifold Learning and Locally Adjusted Robust Regression
    13 years 8 months ago
    Image-Based Human Age Estimation by Manifold Learning and Locally Adjusted Robust Regression
    Download  pages.cs.wisc.edu
    Estimating human age automatically via facial image analysis has lots of potential real-world applications, such as human computer interaction and multimedia communication. However...
    Guodong Guo, Yun Fu, Charles R. Dyer, Thomas S. Hu...
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