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    IPMI
    2011
    Springer
    313views Medical Imaging» more  IPMI 2011»
    Actin Filament Segmentation Using Dynamic Programming
    13 years 22 days ago
    Actin Filament Segmentation Using Dynamic Programming
    Download  www.lehigh.edu
    Abstract. We introduce a novel algorithm for actin filament segmentation in 2D TIRFM image sequences. This problem is difficult because actin filaments dynamically change shapes ...
    Hongsheng Li, Tian Shen, Xiaolei Huang
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    NAR
    2011
    205views Computer Vision» more  NAR 2011»
    The BRENDA Tissue Ontology (BTO): the first all-integrating ontology of all organisms for enzyme sources
    13 years 4 days ago
    The BRENDA Tissue Ontology (BTO): the first all-integrating ontology of all organisms for enzyme sources
    Download  nar.oxfordjournals.org
    BTO, the BRENDA Tissue Ontology (http://www .BTO.brenda-enzymes.org) represents a comprehensive structured encyclopedia of tissue terms. The project started in 2003 to create a co...
    Marion Gremse, Antje Chang, Ida Schomburg, Andreas...
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    ICCV
    2011
    IEEE
    162views Computer Vision» more  ICCV 2011»
    Trajectory reconstruction from non-overlapping surveillance cameras with relative depth ordering constraints
    12 years 9 months ago
    Trajectory reconstruction from non-overlapping surveillance cameras with relative depth ordering constraints
    Download  www.cat-project.at
    We present a method for reconstructing a trajectory of an object moving in front of non-overlapping fully or partially calibrated cameras. The non-overlapping setup turns that pro...
    Branislav Micusik
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    3DIM
    2011
    IEEE
    252views Image Processing» more  3DIM 2011»
    Human Body Shape Prediction and Analysis Using Predictive Clustering Tree
    12 years 9 months ago
    Human Body Shape Prediction and Analysis Using Predictive Clustering Tree
    Download  www.site.uottawa.ca
    —Predictive modeling aims at constructing models that predict a target property of an object based on its descriptions. In digital human modeling, it can be applied to predicting...
    Pengcheng Xi, Hongyu Guo, Chang Shu
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    AAAI
    2011
    122views Intelligent Agents» more  AAAI 2011»
    User-Controllable Learning of Location Privacy Policies With Gaussian Mixture Models
    12 years 9 months ago
    User-Controllable Learning of Location Privacy Policies With Gaussian Mixture Models
    Download  www.andrew.cmu.edu
    With smart-phones becoming increasingly commonplace, there has been a subsequent surge in applications that continuously track the location of users. However, serious privacy conc...
    Justin Cranshaw, Jonathan Mugan, Norman M. Sadeh
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