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    SIGGRAPH
    1999
    ACM
    120views Computer Graphics» more  SIGGRAPH 1999»
    Shape Transformation Using Variational Implicit Functions
    14 years 1 months ago
    Shape Transformation Using Variational Implicit Functions
    Download  www.cc.gatech.edu
    Traditionally, shape transformation using implicit functions is performed in two distinct steps: 1) creating two implicit functions, and 2) interpolating between these two functio...
    Greg Turk, James F. O'Brien
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    SDM
    2003
    SIAM
    184views Data Mining» more  SDM 2003»
    Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
    13 years 10 months ago
    Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
    Download  www-users.cs.umn.edu
    The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
    Levent Ertöz, Michael Steinbach, Vipin Kumar
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    CVPR
    2012
    IEEE
    229views Computer Vision» more  CVPR 2012»
    Unsupervised metric fusion by cross diffusion
    11 years 11 months ago
    Unsupervised metric fusion by cross diffusion
    Download  users.loni.ucla.edu
    Metric learning is a fundamental problem in computer vision. Different features and algorithms may tackle a problem from different angles, and thus often provide complementary inf...
    Bo Wang, Jiayan Jiang, Wei Wang 0028, Zhi-Hua Zhou...
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    MVA
    1996
    83views Computer Vision» more  MVA 1996»
    Inductive Learning of Primitive Shape Features of Closed Contours
    13 years 10 months ago
    Inductive Learning of Primitive Shape Features of Closed Contours
    Download  b2.cvl.iis.u-tokyo.ac.jp
    A method for inductivelearningof primitive features is proposed. Primitive features are well investigated and they are extracted in bottom-up manner fiom training set of patterns ...
    Ichiro Murase, Shun'ichi Kaneko, Satoru Igarashi
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    TIP
    2008
    125views more  TIP 2008»
    Integrating Color and Shape-Texture Features for Adaptive Real-Time Object Tracking
    13 years 8 months ago
    Integrating Color and Shape-Texture Features for Adaptive Real-Time Object Tracking
    Download  www.am.sanken.osaka-u.ac.jp
    We extend the standard mean-shift tracking algorithm to an adaptive tracker by selecting reliable features from color and shape-texture cues according to their descriptive ability....
    Junqiu Wang, Yasushi Yagi
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