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    VLDB
    1994
    ACM
    110views Database» more  VLDB 1994»
    Fast, Randomized Join-Order Selection - Why Use Transformations?
    15 years 2 months ago
    Fast, Randomized Join-Order Selection - Why Use Transformations?
    Download  www.vldb.org
    César A. Galindo-Legaria, Arjan Pellenkoft,...
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    IS
    2007
    74views Artificial Intelligence» more  IS 2007»
    Fast similarity join for multi-dimensional data
    14 years 9 months ago
    Fast similarity join for multi-dimensional data
    Download  www.ics.uci.edu
    Dmitri V. Kalashnikov, Sunil Prabhakar
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    BIOINFORMATICS
    2004
    48views more  BIOINFORMATICS 2004»
    QuickJoin - fast neighbour-joining tree reconstruction
    14 years 9 months ago
    QuickJoin - fast neighbour-joining tree reconstruction
    Download  www.daimi.au.dk
    Thomas Mailund, Christian N. S. Pedersen
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    ICAPR
    2009
    Springer
    169views Pattern Recognition» more  ICAPR 2009»
    Hierarchical Local Maps for Robust Approximate Nearest Neighbor Computation
    15 years 4 months ago
    Hierarchical Local Maps for Robust Approximate Nearest Neighbor Computation
    Download  cvit.iiit.ac.in
    In this paper, we propose a novel method for fast nearest neighbors retrieval in non-Euclidean and non-metric spaces. We organize the data into a hierarchical fashion that preserv...
    Pratyush Bhatt, Anoop M. Namboodiri
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    DMIN
    2007
    214views Data Mining» more  DMIN 2007»
    A Fast KNN Algorithm Based on Simulated Annealing
    14 years 11 months ago
    A Fast KNN Algorithm Based on Simulated Annealing
    Download  cs.uni-muenster.de
    K-Nearest Neighbor is used broadly in text classification, but it has one deficiency—computational efficiency. In this paper, we propose a heuristic search way to find out the k ...
    Chuanyao Yang, Yuqin Li, Chenghong Zhang, Yunfa Hu
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