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    EMNLP
    2009
    121views Natural Language Processing» more  EMNLP 2009»
    Web-Scale Distributional Similarity and Entity Set Expansion
    13 years 6 months ago
    Web-Scale Distributional Similarity and Entity Set Expansion
    Download  www.aclweb.org
    Computing the pairwise semantic similarity between all words on the Web is a computationally challenging task. Parallelization and optimizations are necessary. We propose a highly...
    Patrick Pantel, Eric Crestan, Arkady Borkovsky, An...
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    IEEEPACT
    1998
    IEEE
    129views Distributed And Parallel Com...» more  IEEEPACT 1998»
    A Matrix-Based Approach to the Global Locality Optimization Problem
    14 years 22 days ago
    A Matrix-Based Approach to the Global Locality Optimization Problem
    Download  cucis.ece.northwestern.edu
    Global locality analysis is a technique for improving the cache performance of a sequence of loop nests through a combination of loop and data layout optimizations. Pure loop tran...
    Mahmut T. Kandemir, Alok N. Choudhary, J. Ramanuja...
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    MVA
    2007
    101views Computer Vision» more  MVA 2007»
    A Novel Approach to Eigenpalm Features Using Feature-Partitioning Framework
    13 years 8 months ago
    A Novel Approach to Eigenpalm Features Using Feature-Partitioning Framework
    Download  b2.cvl.iis.u-tokyo.ac.jp
    Eigenpalms, a well-known approach, extracts features from palmprint images using conventional PCA technique. However eigenpalms does not exploit neighbourhood (local) information ...
    Kadappagari Vijaya Kumar, Atul Negi
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    SADM
    2008
    178views more  SADM 2008»
    Fast Projection-Based Methods for the Least Squares Nonnegative Matrix Approximation Problem
    13 years 8 months ago
    Fast Projection-Based Methods for the Least Squares Nonnegative Matrix Approximation Problem
    Download  www.cs.utexas.edu
    : Nonnegative matrix approximation (NNMA) is a popular matrix decomposition technique that has proven to be useful across a diverse variety of fields with applications ranging from...
    Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon
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    AAAI
    2006
    123views Intelligent Agents» more  AAAI 2006»
    Semi-supervised Multi-label Learning by Constrained Non-negative Matrix Factorization
    13 years 10 months ago
    Semi-supervised Multi-label Learning by Constrained Non-negative Matrix Factorization
    Download  www.aaai.org
    We present a novel framework for multi-label learning that explicitly addresses the challenge arising from the large number of classes and a small size of training data. The key a...
    Yi Liu, Rong Jin, Liu Yang
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