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    CEC
    2009
    IEEE
    135views Artificial Intelligence» more  CEC 2009»
    Multi-objective Combinatorial Optimisation with Coincidence algorithm
    14 years 7 months ago
    Multi-objective Combinatorial Optimisation with Coincidence algorithm
    Download  www.cp.eng.chula.ac.th
    -- Most optimization algorithms that use probabilistic models focus on extracting the information from good solutions found in the population. A selection method discards the below...
    Warin Wattanapornprom, Panuwat Olanviwitchai, Para...
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    EMNLP
    2009
    104views Natural Language Processing» more  EMNLP 2009»
    Unsupervised morphological segmentation and clustering with document boundaries
    14 years 7 months ago
    Unsupervised morphological segmentation and clustering with document boundaries
    Download  www.aclweb.org
    Many approaches to unsupervised morphology acquisition incorporate the frequency of character sequences with respect to each other to identify word stems and affixes. This typical...
    Taesun Moon, Katrin Erk, Jason Baldridge
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    IC
    2009
    132views Applied Computing» more  IC 2009»
    Efficient Distributed Search for Multicast Session Keywords
    14 years 7 months ago
    Efficient Distributed Search for Multicast Session Keywords
    Download  www.cise.ufl.edu
    mDNS is a proposed DNS-aware, hierarchical, and scalable multicast session directory architecture that enables multicast session registration and makes them discoverable in real ti...
    Piyush Harsh, Richard Newman
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    ICTAI
    2009
    IEEE
    165views Artificial Intelligence» more  ICTAI 2009»
    A Confidence-Based Dominance Operator in Evolutionary Algorithms for Noisy Multiobjective Optimization Problems
    14 years 7 months ago
    A Confidence-Based Dominance Operator in Evolutionary Algorithms for Noisy Multiobjective Optimization Problems
    Download  www.cs.umb.edu
    This paper describes a noise-aware dominance operator for evolutionary algorithms to solve the multiobjective optimization problems (MOPs) that contain noise in their objective fu...
    Pruet Boonma, Junichi Suzuki
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    CVPR
    2009
    IEEE
    1561views Computer Vision» more  CVPR 2009»
    SURFTrac: Efficient Tracking and Continuous Object Recognition using Local Feature Descriptors
    16 years 5 months ago
    SURFTrac: Efficient Tracking and Continuous Object Recognition using Local Feature Descriptors
    Download  research.nokia.com
    We present an efficient algorithm for continuous image recognition and feature descriptor tracking in video which operates by reducing the search space of possible interest poin...
    Duy-Nguyen Ta (Georgia Institute of Technology), W...
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