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    » A Genetic Algorithm for Clustering on Very Large Data Sets
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    NIPS
    2001
    174views Information Technology» more  NIPS 2001»
    K-Local Hyperplane and Convex Distance Nearest Neighbor Algorithms
    13 years 9 months ago
    K-Local Hyperplane and Convex Distance Nearest Neighbor Algorithms
    Download  books.nips.cc
    Guided by an initial idea of building a complex (non linear) decision surface with maximal local margin in input space, we give a possible geometrical intuition as to why K-Neares...
    Pascal Vincent, Yoshua Bengio
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    NIPS
    2004
    215views Information Technology» more  NIPS 2004»
    Hierarchical Eigensolver for Transition Matrices in Spectral Methods
    13 years 9 months ago
    Hierarchical Eigensolver for Transition Matrices in Spectral Methods
    Download  books.nips.cc
    We show how to build hierarchical, reduced-rank representation for large stochastic matrices and use this representation to design an efficient algorithm for computing the largest...
    Chakra Chennubhotla, Allan D. Jepson
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    MVA
    1990
    123views Computer Vision» more  MVA 1990»
    Randomized Hough Transform (RHT) in Engineering Drawing Vectorization System
    13 years 8 months ago
    Randomized Hough Transform (RHT) in Engineering Drawing Vectorization System
    Download  b2.cvl.iis.u-tokyo.ac.jp
    Abstract When the data is processed from the digitized drawThis paper presents how the recently presented Randomized IIough Transform (RHT) method can be used as a part of an engin...
    Pekka Kultanen, Erkki Oja, Lei Xu
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    VDA
    2010
    206views Visualization» more  VDA 2010»
    Visual discovery in multivariate binary data
    13 years 10 months ago
    Visual discovery in multivariate binary data
    Download  www.math.nsc.ru
    This paper presents the concept of Monotone Boolean Function Visual Analytics (MBFVA) and its application to the medical domain. The medical application is concerned with discover...
    Boris Kovalerchuk, Florian Delizy, Logan Riggs, Ev...
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    SIGIR
    2009
    ACM
    158views Information Technology» more  SIGIR 2009»
    Approximating true relevance distribution from a mixture model based on irrelevance data
    14 years 2 months ago
    Approximating true relevance distribution from a mixture model based on irrelevance data
    Download  www.comp.rgu.ac.uk
    Pseudo relevance feedback (PRF), which has been widely applied in IR, aims to derive a distribution from the top n pseudo relevant documents D. However, these documents are often ...
    Peng Zhang, Yuexian Hou, Dawei Song
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