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    CCIA
    2005
    Springer
    89views Artificial Intelligence» more  CCIA 2005»
    On the usefulness of supervised learning for vessel border detection in IntraVascular Imaging
    14 years 1 months ago
    On the usefulness of supervised learning for vessel border detection in IntraVascular Imaging
    Download  www.cvc.uab.es
    IntraVascular UltraSound (IVUS) imaging is a useful tool in diagnosis of cardiac diseases since sequences completely show the morphology of coronary vessels. Vessel borders detecti...
    Aura Hernandez, Debora Gil, Petia Radeva
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    ESANN
    2008
    164views Neural Networks» more  ESANN 2008»
    Multilayer Perceptrons with Radial Basis Functions as Value Functions in Reinforcement Learning
    13 years 9 months ago
    Multilayer Perceptrons with Radial Basis Functions as Value Functions in Reinforcement Learning
    Download  www.dice.ucl.ac.be
    Using multilayer perceptrons (MLPs) to approximate the state-action value function in reinforcement learning (RL) algorithms could become a nightmare due to the constant possibilit...
    Victor Uc Cetina
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    PGLDB
    2003
    166views Database» more  PGLDB 2003»
    ROSA: A Data Model and Query Language for e-Learning Objects
    13 years 9 months ago
    ROSA: A Data Model and Query Language for e-Learning Objects
    Download  sunsite.informatik.rwth-aachen.de
    Learning Content Management Systems (LCMS) supports e-learning applications with storage and efficient access for e-learning objects (LO)s. ROSA is a LCMS built as a semantic laye...
    Fabio Porto, Ana Maria de Carvalho Moura, Adriana ...
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    ICIP
    2009
    IEEE
    156views Image Processing» more  ICIP 2009»
    Learning weighted similarity measurements for unconstrained face recognition
    13 years 5 months ago
    Learning weighted similarity measurements for unconstrained face recognition
    Download  www.cic.unb.br
    Unconstrained face recognition is the problem of deciding if an image pair is showing the same individual or not, without having class specific training material or knowing anythi...
    Andre Störmer, Gerhard Rigoll
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    ICDM
    2008
    IEEE
    120views Data Mining» more  ICDM 2008»
    Prediction of Skin Penetration Using Machine Learning Methods
    14 years 2 months ago
    Prediction of Skin Penetration Using Machine Learning Methods
    Download  homepages.feis.herts.ac.uk
    Improving predictions of the skin permeability coefficient is a difficult problem. It is also an important issue with the increasing use of skin patches as a means of drug deliv...
    Yi Sun, Gary P. Moss, Maria Prapopoulou, Rod Adams...
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