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    JMIV
    2007
    143views more  JMIV 2007»
    Measures for Benchmarking of Automatic Correspondence Algorithms
    14 years 9 months ago
    Measures for Benchmarking of Automatic Correspondence Algorithms
    Download  www.maths.lth.se
    Automatic localisation of correspondences for the construction of Statistical Shape Models from examples has been the focus of intense research during the last decade. Several alg...
    Anders Ericsson, Johan Karlsson
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    TIP
    1998
    128views more  TIP 1998»
    Nonlinear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage
    14 years 9 months ago
    Nonlinear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage
    Download  www.math.purdue.edu
    This paper examines the relationship between wavelet-based image processing algorithms and variational problems. Algorithms are derived as exact or approximate minimizers of varia...
    Antonin Chambolle, Ronald A. DeVore, Nam-Yong Lee,...
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    PC
    2010
    190views Management» more  PC 2010»
    High-performance cone beam reconstruction using CUDA compatible GPUs
    14 years 8 months ago
    High-performance cone beam reconstruction using CUDA compatible GPUs
    Download  www-hagi.ist.osaka-u.ac.jp
    Compute unified device architecture (CUDA) is a software development platform that allows us to run C-like programs on the nVIDIA graphics processing unit (GPU). This paper prese...
    Yusuke Okitsu, Fumihiko Ino, Kenichi Hagihara
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    KAIS
    2011
    129views more  KAIS 2011»
    Counting triangles in real-world networks using projections
    14 years 4 months ago
    Counting triangles in real-world networks using projections
    Download  www.cs.cmu.edu
    Triangle counting is an important problem in graph mining. Two frequently used metrics in complex network analysis which require the count of triangles are the clustering coefficie...
    Charalampos E. Tsourakakis
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    TNN
    2010
    148views Management» more  TNN 2010»
    Generalized low-rank approximations of matrices revisited
    14 years 4 months ago
    Generalized low-rank approximations of matrices revisited
    Download  parnec.nuaa.edu.cn
    Compared to Singular Value Decomposition (SVD), Generalized Low Rank Approximations of Matrices (GLRAM) can consume less computation time, obtain higher compression ratio, and yiel...
    Jun Liu, Songcan Chen, Zhi-Hua Zhou, Xiaoyang Tan
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