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    PAMI
    2006
    243views more  PAMI 2006»
    Dynamical Statistical Shape Priors for Level Set-Based Tracking
    13 years 8 months ago
    Dynamical Statistical Shape Priors for Level Set-Based Tracking
    Download  wwwcremers.in.tum.de
    In recent years, researchers have proposed to introduce statistical shape knowledge into level set based segmentation methods in order to cope with insufficient low-level informati...
    Daniel Cremers
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    PR
    2006
    116views more  PR 2006»
    Shared farthest neighbor approach to clustering of high dimensionality, low cardinality data
    13 years 8 months ago
    Shared farthest neighbor approach to clustering of high dimensionality, low cardinality data
    Download  www.disi.unige.it
    Clustering algorithms are routinely used in biomedical disciplines, and are a basic tool in bioinformatics. Depending on the task at hand, there are two most popular options, the ...
    Stefano Rovetta, Francesco Masulli
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    RAS
    2006
    111views more  RAS 2006»
    Planning under uncertainty using model predictive control for information gathering
    13 years 8 months ago
    Planning under uncertainty using model predictive control for information gathering
    Download  services.eng.uts.edu.au
    This paper considers trajectory planning problems for autonomous robots in information gathering tasks. The objective of the planning is to maximize the information gathered withi...
    Cindy Leung, Shoudong Huang, Ngai Ming Kwok, Gamin...
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    IJCV
    2007
    145views more  IJCV 2007»
    Building Outline Extraction from Digital Elevation Models Using Marked Point Processes
    13 years 8 months ago
    Building Outline Extraction from Digital Elevation Models Using Marked Point Processes
    Download  www-sop.inria.fr
    — This work presents an automatic algorithm for extracting vectorial land registers from altimetric data in dense urban areas. We focus on elementary shape extraction and propose...
    Mathias Ortner, Xavier Descombes, Josiane Zerubia
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    SIGKDD
    2008
    138views more  SIGKDD 2008»
    Learning preferences of new users in recommender systems: an information theoretic approach
    13 years 8 months ago
    Learning preferences of new users in recommender systems: an information theoretic approach
    Download  glaros.dtc.umn.edu
    Recommender systems are a nice tool to help nd items of interest from an overwhelming number of available items. Collaborative Filtering (CF), the best known technology for recomme...
    Al Mamunur Rashid, George Karypis, John Riedl
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