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    JAIR
    2002
    120views more  JAIR 2002»
    Learning Geometrically-Constrained Hidden Markov Models for Robot Navigation: Bridging the Topological-Geometrical Gap
    13 years 8 months ago
    Learning Geometrically-Constrained Hidden Markov Models for Robot Navigation: Bridging the Topological-Geometrical Gap
    Download  www.jair.org
    Hidden Markov models hmms and partially observable Markov decision processes pomdps provide useful tools for modeling dynamical systems. They are particularly useful for represent...
    Hagit Shatkay, Leslie Pack Kaelbling
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    BMCBI
    2011
    252views Artificial Intelligence» more  BMCBI 2011»
    A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
    13 years 17 days ago
    A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
    Download  www.biomedcentral.com
    Background: Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1...
    Raphael Mourad, Christine Sinoquet, Philippe Leray
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    MM
    2004
    ACM
    167views Multimedia» more  MM 2004»
    Learning an image manifold for retrieval
    14 years 2 months ago
    Learning an image manifold for retrieval
    Download  research.microsoft.com
    We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
    Xiaofei He, Wei-Ying Ma, HongJiang Zhang
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    SENSYS
    2006
    ACM
    163views Sensor Networks» more  SENSYS 2006»
    Data compression algorithms for energy-constrained devices in delay tolerant networks
    14 years 2 months ago
    Data compression algorithms for energy-constrained devices in delay tolerant networks
    Download  parapet.ee.princeton.edu
    Sensor networks are fundamentally constrained by the difficulty and energy expense of delivering information from sensors to sink. Our work has focused on garnering additional si...
    Christopher M. Sadler, Margaret Martonosi
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    CSE
    2009
    IEEE
    136views Theoretical Computer Science» more  CSE 2009»
    Self-Organized Data-Energy-Aware Clustering and Routing for Wireless Sensor Networks
    14 years 1 months ago
    Self-Organized Data-Energy-Aware Clustering and Routing for Wireless Sensor Networks
    Download  www.anarg.jp
    —In this paper we propose a clustering and routing scheme for wireless sensor networks based on a self-organizing approach. The aim of this approach is for nodes to perform an in...
    Ehssan Sakhaee, Naoki Wakamiya, Masayuki Murata
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