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    » Exact methods for combinatorial auctions
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    SDM
    2009
    SIAM
    108views Data Mining» more  SDM 2009»
    Highlighting Diverse Concepts in Documents.
    14 years 4 months ago
    Highlighting Diverse Concepts in Documents.
    Download  www.almaden.ibm.com
    We show the underpinnings of a method for summarizing documents: it ingests a document and automatically highlights a small set of sentences that are expected to cover the differ...
    Evimaria Terzi, Kun Liu, Tyrone Grandison
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    EUROCAST
    2009
    Springer
    185views Hardware» more  EUROCAST 2009»
    Solving the Euclidean Bounded Diameter Minimum Spanning Tree Problem by Clustering-Based (Meta-)Heuristics
    14 years 2 months ago
    Solving the Euclidean Bounded Diameter Minimum Spanning Tree Problem by Clustering-Based (Meta-)Heuristics
    Download  www.ads.tuwien.ac.at
    The bounded diameter minimum spanning tree problem is an NP-hard combinatorial optimization problem arising in particular in network design. There exist various exact and metaheuri...
    Martin Gruber, Günther R. Raidl
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    COR
    2010
    177views more  COR 2010»
    Hybridization of very large neighborhood search for ready-mixed concrete delivery problems
    13 years 7 months ago
    Hybridization of very large neighborhood search for ready-mixed concrete delivery problems
    Download  prolog.univie.ac.at
    Companies in the concrete industry are facing the following scheduling problem on a daily basis: concrete produced at several plants has to be delivered at customers' constru...
    Verena Schmid, Karl F. Doerner, Richard F. Hartl, ...
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    SDM
    2009
    SIAM
    219views Data Mining» more  SDM 2009»
    A Hybrid Data Mining Metaheuristic for the p-Median Problem.
    14 years 4 months ago
    A Hybrid Data Mining Metaheuristic for the p-Median Problem.
    Download  www.siam.org
    Metaheuristics represent an important class of techniques to solve, approximately, hard combinatorial optimization problems for which the use of exact methods is impractical. In t...
    Alexandre Plastino, Erick R. Fonseca, Richard Fuch...
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    CLOR
    2006
    158views Computer Vision» more  CLOR 2006»
    Sequential Learning of Layered Models from Video
    13 years 11 months ago
    Sequential Learning of Layered Models from Video
    Download  homepages.inf.ed.ac.uk
    Abstract. A popular framework for the interpretation of image sequences is the layers or sprite model, see e.g. [1], [2]. Jojic and Frey [3] provide a generative probabilistic mode...
    Michalis K. Titsias, Christopher K. I. Williams
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