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    ICDM
    2009
    IEEE
    207views Data Mining» more  ICDM 2009»
    Spatially Adaptive Classification and Active Learning of Multispectral Data with Gaussian Processes
    13 years 6 months ago
    Spatially Adaptive Classification and Active Learning of Multispectral Data with Gaussian Processes
    Download  ideal.ece.utexas.edu
    Multispectral remote sensing images are widely used for automated land use and land cover classification tasks. Remotely sensed images usually cover large geographical areas, and s...
    Goo Jun, Ranga Raju Vatsavai, Joydeep Ghosh
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    ISBI
    2009
    IEEE
    256views Medical Imaging» more  ISBI 2009»
    Structural Annotation of EM Images by Graph Cut
    14 years 3 months ago
    Structural Annotation of EM Images by Graph Cut
    Download  vision.lbl.gov
    Biological images have the potential to reveal complex signatures that may not be amenable to morphological modeling in terms of shape, location, texture, and color. An effective ...
    Hang Chang, Manfred Auer, Bahram Parvin
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    CIIA
    2009
    208views Information Technology» more  CIIA 2009»
    Dynamic Scheduling in Petroleum Process using Reinforcement Learning
    13 years 10 months ago
    Dynamic Scheduling in Petroleum Process using Reinforcement Learning
    Download  sunsite.informatik.rwth-aachen.de
    Petroleum industry production systems are highly automatized. In this industry, all functions (e.g., planning, scheduling and maintenance) are automated and in order to remain comp...
    Nassima Aissani, Bouziane Beldjilali
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    JMLR
    2010
    192views more  JMLR 2010»
    Efficient Learning of Deep Boltzmann Machines
    13 years 3 months ago
    Efficient Learning of Deep Boltzmann Machines
    Download  web.mit.edu
    We present a new approximate inference algorithm for Deep Boltzmann Machines (DBM's), a generative model with many layers of hidden variables. The algorithm learns a separate...
    Ruslan Salakhutdinov, Hugo Larochelle
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    CCECE
    2006
    IEEE
    338views Electrical And Computer Engi...» more  CCECE 2006»
    A Dynamic Associative E-Learning Model based on a Spreading Activation Network
    14 years 3 months ago
    A Dynamic Associative E-Learning Model based on a Spreading Activation Network
    Download  research.rmutp.ac.th
    Presenting information to an e-learning environment is a challenge, mostly, because ofthe hypertextlhypermedia nature and the richness ofthe context and information provides. This...
    Phongchai Nilas, Nilamit Nilas, Somsak Mitatha
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