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    ACMSE
    2008
    ACM
    72views Theoretical Computer Science» more  ACMSE 2008»
    The relationship between the features of sparse matrix and the matrix solving status
    13 years 6 months ago
    The relationship between the features of sparse matrix and the matrix solving status
    Download  www.cs.uky.edu
    Dianwei Han, Shuting Xu, Jun Zhang
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    IMCSIT
    2010
    139views Information Technology» more  IMCSIT 2010»
    The experimental analysis of GMRES convergence for solution of Markov chains
    13 years 2 months ago
    The experimental analysis of GMRES convergence for solution of Markov chains
    Download  proceedings2010.imcsit.org
    The authors consider the impact of the structure of the matrix on the convergence behavior for the GMRES projection method for solving large sparse linear equation systems resultin...
    Beata Bylina, Jaroslaw Bylina
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    KDD
    2007
    ACM
    197views Data Mining» more  KDD 2007»
    Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming
    14 years 5 months ago
    Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming
    Download  www.public.asu.edu
    The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
    Jieping Ye, Shuiwang Ji, Jianhui Chen
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    3DIM
    2005
    IEEE
    231views Image Processing» more  3DIM 2005»
    Unsupervised 3D Object Recognition and Reconstruction in Unordered Datasets
    13 years 10 months ago
    Unsupervised 3D Object Recognition and Reconstruction in Unordered Datasets
    Download  www.cs.ubc.ca
    This paper presents a system for fully automatic recognition and reconstruction of 3D objects in image databases. We pose the object recognition problem as one of finding consist...
    Matthew Brown, David G. Lowe
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    KDD
    2012
    ACM
    207views Data Mining» more  KDD 2012»
    Robust multi-task feature learning
    11 years 7 months ago
    Robust multi-task feature learning
    Download  www.public.asu.edu
    Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
    Pinghua Gong, Jieping Ye, Changshui Zhang
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