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    TIP
    1998
    109views more  TIP 1998»
    A general framework for low level vision
    13 years 8 months ago
    A general framework for low level vision
    Download  www.math.yale.edu
    —We introduce a new geometrical framework based on which natural flows for image scale space and enhancement are presented. We consider intensity images as surfaces in the (x; I...
    Nir A. Sochen, Ron Kimmel, Ravi Malladi
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    ICPR
    2008
    IEEE
    102views Computer Vision» more  ICPR 2008»
    Multi-script handwriting recognition with N-streams low level features
    14 years 3 months ago
    Multi-script handwriting recognition with N-streams low level features
    Download  figment.cse.usf.edu
    Yousri Kessentini, Thierry Paquet, Abdelmajid Ben ...
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    IJCSA
    2008
    100views more  IJCSA 2008»
    A Smart Architecture for Low-Level Image Computing
    13 years 8 months ago
    A Smart Architecture for Low-Level Image Computing
    Download  www.tmrfindia.org
    This paper presents a comparison relating two different vision system architectures. The first one involves a smart sensor including analog processors allowing on-chip image proce...
    A. Elouardi, Samir Bouaziz, Antoine Dupret, Lionel...
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    CVPR
    2004
    IEEE
    183views Computer Vision» more  CVPR 2004»
    A Probabilistic Approach to Image Orientation Detection via Confidence-Based Integration of Low-Level and Semantic Cues
    14 years 10 days ago
    A Probabilistic Approach to Image Orientation Detection via Confidence-Based Integration of Low-Level and Semantic Cues
    Download  www.rose-hulman.edu
    Automatic image orientation detection for natural images is a useful, yet challenging research area. Humans use scene context and semantic object recognition to identify the corre...
    Jiebo Luo, Matthew R. Boutell
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    FLAIRS
    2008
    119views Artificial Intelligence» more  FLAIRS 2008»
    Learning to Assess Low-Level Conceptual Understanding
    13 years 11 months ago
    Learning to Assess Low-Level Conceptual Understanding
    Download  www.aaai.org
    This paper analyzes the impact of several lexical and grammatical features in automated assessment of students' finegrained understanding of tutored concepts. Truly effective...
    Rodney D. Nielsen, Wayne Ward, James H. Martin
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