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    COCOON
    1998
    Springer
    184views Combinatorics» more  COCOON 1998»
    The Colored Sector Search Tree: A Dynamic Data Structure for Efficient High Dimensional Nearest-Foreign-Neighbor Queries
    15 years 3 months ago
    The Colored Sector Search Tree: A Dynamic Data Structure for Efficient High Dimensional Nearest-Foreign-Neighbor Queries
    Download  publications.cse.iitm.ac.in
    Abstract. In this paper we present the new data structure Colored Sector Search Tree (CSST ) for solving the Nearest-Foreign-Neighbor Query Problem (NFNQP ): Given a set S of n col...
    Thomas Graf, V. Kamakoti, N. S. Janaki Latha, C. P...
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    ICCV
    1999
    IEEE
    132views Computer Vision» more  ICCV 1999»
    Efficient Recovery of Low-Dimensional Structure from High-Dimensional Data
    16 years 1 months ago
    Efficient Recovery of Low-Dimensional Structure from High-Dimensional Data
    Download  users.rsise.anu.edu.au
    Shyjan Mahamud, Martial Hebert
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    ICML
    2004
    IEEE
    117views Machine Learning» more  ICML 2004»
    Tractable learning of large Bayes net structures from sparse data
    16 years 1 days ago
    Tractable learning of large Bayes net structures from sparse data
    Download  www.autonlab.org
    Anna Goldenberg, Andrew Moore
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    SIGMOD
    2004
    ACM
    144views Database» more  SIGMOD 2004»
    Information-Theoretic Tools for Mining Database Structure from Large Data Sets
    15 years 11 months ago
    Information-Theoretic Tools for Mining Database Structure from Large Data Sets
    Download  www.cs.toronto.edu
    Periklis Andritsos, Renée J. Miller, Panayi...
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    NAR
    2006
    61views more  NAR 2006»
    E-MSD: improving data deposition and structure quality
    14 years 11 months ago
    E-MSD: improving data deposition and structure quality
    Download  www.ebi.ac.uk
    The Macromolecular Structure Database (MSD) (http://www.ebi.ac.uk/msd/) [H. Boutselakis, D. Dimitropoulos, J. Fillon, A. Golovin, K. Henrick, A. Hussain, J. Ionides, M. John, P. A...
    Mohammed Tagari, John G. Tate, G. J. Swaminathan, ...
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