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    SIGGRAPH
    1999
    ACM
    159views Computer Graphics» more  SIGGRAPH 1999»
    Voice Puppetry
    14 years 1 days ago
    Voice Puppetry
    Download  www.cs.cmu.edu
    We introduce a method for predicting a control signal from another related signal, and apply it to voice puppetry: Generating full facial animation from expressive information in ...
    Matthew Brand
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    ICPR
    2010
    IEEE
    371views Computer Vision» more  ICPR 2010»
    Monogenic Binary Pattern (MBP): A Novel Feature Extraction and Representation Model for Face Recognition
    13 years 11 months ago
    Monogenic Binary Pattern (MBP): A Novel Feature Extraction and Representation Model for Face Recognition
    Download  www4.comp.polyu.edu.hk
    A novel feature extraction method, namely monogenic binary pattern (MBP), is proposed in this paper based on the theory of monogenic signal analysis, and the histogram of MBP (HMB...
    Meng Yang, Lei Zhang, Lin Zhang, David Zhang
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    ADCM
    2010
    129views more  ADCM 2010»
    Construction of positive definite cubature formulae and approximation of functions via Voronoi tessellations
    13 years 7 months ago
    Construction of positive definite cubature formulae and approximation of functions via Voronoi tessellations
    Download  www.mi.uni-erlangen.de
    Let Rd be a compact convex set of positive measure. In a recent paper, we established a definiteness theory for cubature formulae of order two on . Here we study extremal propert...
    Allal Guessab, Gerhard Schmeisser
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    ACL
    2003
    97views Computational Linguistics» more  ACL 2003»
    A Word-Order Database for Testing Computational Models of Language Acquisition
    13 years 9 months ago
    A Word-Order Database for Testing Computational Models of Language Acquisition
    Download  www.aclweb.org
    An investment of effort over the last two years has begun to produce a wealth of data concerning computational psycholinguistic models of syntax acquisition. The data is generated...
    William Gregory Sakas
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    DMIN
    2006
    134views Data Mining» more  DMIN 2006»
    Hyper-Rectangular and k-Nearest-Neighbor Models in Stochastic Discrimination
    13 years 9 months ago
    Hyper-Rectangular and k-Nearest-Neighbor Models in Stochastic Discrimination
    Download  ect.bell-labs.com
    The stochastic discrimination (SD) theory considers learning as building models of uniform coverage over data distributions. Despite successful trials of the derived SD method in s...
    Iryna Skrypnyk, Tin Kam Ho
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