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    SIGSOFT
    2003
    ACM
    137views Software Engineering» more  SIGSOFT 2003»
    Leveraging field data for impact analysis and regression testing
    15 years 11 months ago
    Leveraging field data for impact analysis and regression testing
    Download  pleuma.cc.gatech.edu
    Software products are often released with missing functionality, errors, or incompatibilities that may result in failures, inferior performances, or user dissatisfaction. In previ...
    Alessandro Orso, Taweesup Apiwattanapong, Mary Jea...
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    3DOR
    2008
    322views Computer Graphics» more  3DOR 2008»
    Markov Random Fields for Improving 3D Mesh Analysis and Segmentation
    15 years 1 months ago
    Markov Random Fields for Improving 3D Mesh Analysis and Segmentation
    Download  liris.cnrs.fr
    Mesh analysis and clustering have became important issues in order to improve the efficiency of common processing operations like compression, watermarking or simplification. In t...
    Guillaume Lavoué, Christian Wolf
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    TOG
    2010
    153views more  TOG 2010»
    Content-adaptive parallax barriers: optimizing dual-layer 3D displays using low-rank light field factorization
    14 years 5 months ago
    Content-adaptive parallax barriers: optimizing dual-layer 3D displays using low-rank light field factorization
    Download  web.media.mit.edu
    We optimize automultiscopic displays built by stacking a pair of modified LCD panels. To date, such dual-stacked LCDs have used heuristic parallax barriers for view-dependent imag...
    Douglas Lanman, Matthew Hirsch, Yunhee Kim, Ramesh...
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    CVPR
    2007
    IEEE
    307views Computer Vision» more  CVPR 2007»
    Learning Gaussian Conditional Random Fields for Low-Level Vision
    16 years 29 days ago
    Learning Gaussian Conditional Random Fields for Low-Level Vision
    Download  www.cs.ucf.edu
    Markov Random Field (MRF) models are a popular tool for vision and image processing. Gaussian MRF models are particularly convenient to work with because they can be implemented u...
    Marshall F. Tappen, Ce Liu, Edward H. Adelson, Wil...
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    VIS
    2003
    IEEE
    121views Visualization» more  VIS 2003»
    Hierarchical Clustering for Unstructured Volumetric Scalar Fields
    16 years 5 days ago
    Hierarchical Clustering for Unstructured Volumetric Scalar Fields
    Download  www.idav.ucdavis.edu
    We present a method to represent unstructured scalar fields at multiple levels of detail. Using a parallelizable classification algorithm to build a cluster hierarchy, we generate...
    Christopher S. Co, Bjørn Heckel, Hans Hagen...
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