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    ANNES
    1995
    266views Neural Networks» more  ANNES 1995»
    Deriving Baseline Detection Algorithms from Verbal Descriptions
    13 years 8 months ago
    Deriving Baseline Detection Algorithms from Verbal Descriptions
    Download  www.tu-ilmenau.de
    Bärbel Herrnberger, Uwe R. Zimmer
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    JSW
    2007
    138views more  JSW 2007»
    Learning Problem and BCJR Decoding Algorithm in Anomaly-based Intrusion Detection Systems
    13 years 4 months ago
    Learning Problem and BCJR Decoding Algorithm in Anomaly-based Intrusion Detection Systems
    Download  www.academypublisher.com
    — The anomaly-based intrusion detection systems examine current system activity do find deviations from normal system activity. The present paper proposes a method for normal act...
    Veselina G. Jecheva, Evgeniya P. Nikolova
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    Publication
    234views
    Road Scene Understanding from a Single Image
    11 years 7 months ago
    Road Scene Understanding from a Single Image
    Download  www.josemalvarez.net
    Road scene segmentation is important in computer vision for different applications such as autonomous driving and pedestrian detection. Recovering the 3D structure of road scenes ...
    Jose M. Alvarez, Theo Gevers, Yann LeCun, Antonio ...
    posted by jalvarez
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    3DPVT
    2006
    IEEE
    187views Visualization» more  3DPVT 2006»
    Linking Feature Lines on 3D Triangle Meshes with Artificial Potential Fields
    13 years 8 months ago
    Linking Feature Lines on 3D Triangle Meshes with Artificial Potential Fields
    Download  imaging.utk.edu
    We propose artificial potential fields as a support theory for a feature linking algorithm. This algorithm operates on 3D triangle meshes derived from multiple range scans of an o...
    David L. Page, Andreas Koschan, Mongi A. Abidi
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    CVPR
    2011
    IEEE
    401views Computer Vision» more  CVPR 2011»
    Effective 3D Object Detection and Regression Using Probabilistic Segmentation Features in CT Images
    12 years 8 months ago
    Effective 3D Object Detection and Regression Using Probabilistic Segmentation Features in CT Images
    Download  www.cs.jhu.edu
    3D object detection and importance regression/ranking are at the core for semantically interpreting 3D medical images of computer aided diagnosis (CAD). In this paper, we propose ...
    Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff
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