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    IJCV
    2008
    241views more  IJCV 2008»
    Object Class Recognition and Localization Using Sparse Features with Limited Receptive Fields
    13 years 8 months ago
    Object Class Recognition and Localization Using Sparse Features with Limited Receptive Fields
    Download  web.mit.edu
    We investigate the role of sparsity and localized features in a biologically-inspired model of visual object classification. As in the model of Serre, Wolf, and Poggio, we first a...
    Jim Mutch, David G. Lowe
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    CVPR
    2012
    IEEE
    205views Computer Vision» more  CVPR 2012»
    Multi-view hair capture using orientation fields
    11 years 11 months ago
    Multi-view hair capture using orientation fields
    Download  www.hao-li.com
    Reconstructing realistic 3D hair geometry is challenging due to omnipresent occlusions, complex discontinuities and specular appearance. To address these challenges, we propose a ...
    Linjie Luo, Hao Li, Sylvain Paris, Thibaut Weise, ...
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    PC
    2002
    158views Management» more  PC 2002»
    On parallel block algorithms for exact triangularizations
    13 years 8 months ago
    On parallel block algorithms for exact triangularizations
    Download  ljk.imag.fr
    We present a new parallel algorithm to compute an exact triangularization of large square or rectangular and dense or sparse matrices in any field. Using fast matrix multiplicatio...
    Jean-Guillaume Dumas, Jean-Louis Roch
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    SDM
    2008
    SIAM
    177views Data Mining» more  SDM 2008»
    Practical Private Computation and Zero-Knowledge Tools for Privacy-Preserving Distributed Data Mining
    13 years 10 months ago
    Practical Private Computation and Zero-Knowledge Tools for Privacy-Preserving Distributed Data Mining
    Download  www.cs.berkeley.edu
    In this paper we explore private computation built on vector addition and its applications in privacypreserving data mining. Vector addition is a surprisingly general tool for imp...
    Yitao Duan, John F. Canny
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    MICCAI
    2005
    Springer
    151views Medical Imaging» more  MICCAI 2005»
    Brain Shift Computation Using a Fully Nonlinear Biomechanical Model
    14 years 1 months ago
    Brain Shift Computation Using a Fully Nonlinear Biomechanical Model
    Download  www.spl.harvard.edu
    Abstract. In the present study, fully nonlinear (i.e. accounting for both geometric and material nonlinearities) patient specific finite element brain model was applied to predict ...
    Adam Wittek, Ron Kikinis, Simon K. Warfield, Karol...
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