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    BMCBI
    2008
    153views more  BMCBI 2008»
    Estimating the size of the solution space of metabolic networks
    13 years 5 months ago
    Estimating the size of the solution space of metabolic networks
    Download  www.biomedcentral.com
    Background: Cellular metabolism is one of the most investigated system of biological interactions. While the topological nature of individual reactions and pathways in the network...
    Alfredo Braunstein, Roberto Mulet, Andrea Pagnani
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    PAMI
    2007
    217views more  PAMI 2007»
    Discriminative Learning and Recognition of Image Set Classes Using Canonical Correlations
    13 years 5 months ago
    Discriminative Learning and Recognition of Image Set Classes Using Canonical Correlations
    Download  www.iis.ee.ic.ac.uk
    —We address the problem of comparing sets of images for object recognition, where the sets may represent variations in an object’s appearance due to changing camera pose and li...
    Tae-Kyun Kim, Josef Kittler, Roberto Cipolla
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    ICCV
    2007
    IEEE
    191views Computer Vision» more  ICCV 2007»
    A systematic approach for 2D-image to 3D-range registration in urban environments
    14 years 7 months ago
    A systematic approach for 2D-image to 3D-range registration in urban environments
    Download  www.cs.hunter.cuny.edu
    The photorealistic modeling of large-scale objects, such as urban scenes, requires the combination of range sensing technology and digital photography. In this paper, we attack th...
    Lingyun Liu, Ioannis Stamos
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    IJCV
    2008
    192views more  IJCV 2008»
    Learning to Locate Informative Features for Visual Identification
    13 years 5 months ago
    Learning to Locate Informative Features for Visual Identification
    Download  www.cs.umass.edu
    Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
    Andras Ferencz, Erik G. Learned-Miller, Jitendra M...
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    ICCV
    2005
    IEEE
    238views Computer Vision» more  ICCV 2005»
    Building a Classification Cascade for Visual Identification from One Example
    14 years 7 months ago
    Building a Classification Cascade for Visual Identification from One Example
    Download  www.eecs.berkeley.edu
    Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
    Andras Ferencz, Erik G. Learned-Miller, Jitendra M...
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