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    MICCAI
    2008
    Springer
    175views Medical Imaging» more  MICCAI 2008»
    Active Volume Models with Probabilistic Object Boundary Prediction Module
    14 years 11 months ago
    Active Volume Models with Probabilistic Object Boundary Prediction Module
    Download  cbim.rutgers.edu
    We propose a novel Active Volume Model (AVM) which deforms in a free-form manner to minimize energy. Unlike Snakes and level-set active contours which only consider curves or surfa...
    Tian Shen, Yaoyao Zhu, Xiaolei Huang, Junzhou H...
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    GIS
    2003
    ACM
    166views Automated Reasoning» more  GIS 2003»
    A predictive location model for location-based services
    14 years 11 months ago
    A predictive location model for location-based services
    Download  www.spatial.cs.umn.edu
    Location-Based Services (LBSs) utilize information about users' locations through location-aware mobile devices to provide services, such as nearest features of interest, the...
    Hassan A. Karimi, Xiong Liu
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    BMCBI
    2010
    118views more  BMCBI 2010»
    Predicting nucleosome positioning using a duration Hidden Markov Model
    13 years 10 months ago
    Predicting nucleosome positioning using a duration Hidden Markov Model
    Download  www.biomedcentral.com
    Background: The nucleosome is the fundamental packing unit of DNAs in eukaryotic cells. Its detailed positioning on the genome is closely related to chromosome functions. Increasi...
    Liqun Xi, Yvonne Fondufe-Mittendorf, Lei Xia, Jare...
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    BMCBI
    2004
    166views more  BMCBI 2004»
    Gene prediction using the Self-Organizing Map: automatic generation of multiple gene models
    13 years 10 months ago
    Gene prediction using the Self-Organizing Map: automatic generation of multiple gene models
    Download  eprints.nuim.ie
    Background: Many current gene prediction methods use only one model to represent proteincoding regions in a genome, and so are less likely to predict the location of genes that ha...
    Shaun Mahony, James O. McInerney, Terry J. Smith, ...
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    ICCV
    2009
    IEEE
    638views Computer Vision» more  ICCV 2009»
    Time Series Prediction by Chaotic Modeling of Nonlinear Dynamical Systems
    15 years 3 months ago
    Time Series Prediction by Chaotic Modeling of Nonlinear Dynamical Systems
    Download  eecs.ucf.edu
    We use concepts from chaos theory in order to model nonlinear dynamical systems that exhibit deterministic behavior. Observed time series from such a system can be embedded into...
    Arslan Basharat, Mubarak Shah
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