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    MEDIAFORENSICS
    2010
    443views Forensic Engineering» more  MEDIAFORENSICS 2010»
    Detecting content adaptive scaling of images for forensic applications
    13 years 11 months ago
    Detecting content adaptive scaling of images for forensic applications
    Download  www.ece.rochester.edu
    Content-aware resizing methods have recently been developed, among which, seam-carving has achieved the most widespread use. Seam-carving's versatility enables deliberate obj...
    Claude Fillion, Gaurav Sharma
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    ESANN
    2008
    278views Neural Networks» more  ESANN 2008»
    Learning to play Tetris applying reinforcement learning methods
    13 years 11 months ago
    Learning to play Tetris applying reinforcement learning methods
    Download  www.dice.ucl.ac.be
    In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
    Alexander Groß, Jan Friedland, Friedhelm Sch...
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    IJCAI
    2003
    176views Artificial Intelligence» more  IJCAI 2003»
    Bayesian Information Extraction Network
    13 years 11 months ago
    Bayesian Information Extraction Network
    Download  ijcai.org
    Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
    Leonid Peshkin, Avi Pfeffer
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    NIPS
    2003
    169views Information Technology» more  NIPS 2003»
    A Classification-based Cocktail-party Processor
    13 years 11 months ago
    A Classification-based Cocktail-party Processor
    Download  www.cse.ohio-state.edu
    At a cocktail party, a listener can selectively attend to a single voice and filter out other acoustical interferences. How to simulate this perceptual ability remains a great cha...
    Nicoleta Roman, DeLiang L. Wang, Guy J. Brown
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    SDM
    2003
    SIAM
    184views Data Mining» more  SDM 2003»
    Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
    13 years 11 months ago
    Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
    Download  www-users.cs.umn.edu
    The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
    Levent Ertöz, Michael Steinbach, Vipin Kumar
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