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    ECCV
    2010
    Springer
    235views Computer Vision» more  ECCV 2010»
    Predicting Facial Beauty without Landmarks
    13 years 11 months ago
    Predicting Facial Beauty without Landmarks
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    A fundamental task in artificial intelligence and computer vision is to build machines that can behave like a human in recognizing a broad range of visual concepts. This paper aims...
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    BIOID
    2008
    110views Biometrics» more  BIOID 2008»
    An Empirical Comparison of Individual Machine Learning Techniques in Signature and Fingerprint Classification
    13 years 9 months ago
    An Empirical Comparison of Individual Machine Learning Techniques in Signature and Fingerprint Classification
    Download  cost2101.org
    This paper describes an empirical study to investigate the performance of a wide range of classifiers deployed in applications to classify biometric data. The study specifically re...
    Marjory C. C. Abreu, Michael C. Fairhurst
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    ACL
    2008
    175views Computational Linguistics» more  ACL 2008»
    Applying Morphology Generation Models to Machine Translation
    13 years 9 months ago
    Applying Morphology Generation Models to Machine Translation
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    We improve the quality of statistical machine translation (SMT) by applying models that predict word forms from their stems using extensive morphological and syntactic information...
    Kristina Toutanova, Hisami Suzuki, Achim Ruopp
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    IWANN
    2009
    Springer
    183views Neural Networks» more  IWANN 2009»
    Optimising Machine-Learning-Based Fault Prediction in Foundry Production
    14 years 2 months ago
    Optimising Machine-Learning-Based Fault Prediction in Foundry Production
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    Abstract. Microshrinkages are known as probably the most difficult defects to avoid in high-precision foundry. The presence of this failure renders the casting invalid, with the su...
    Igor Santos, Javier Nieves, Yoseba K. Penya, Pablo...
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    BIBE
    2007
    IEEE
    115views Bioinformatics» more  BIBE 2007»
    Protein Structure Prediction and Its Understanding Based on Machine Learning Methods
    14 years 2 months ago
    Protein Structure Prediction and Its Understanding Based on Machine Learning Methods
    Download  www.cs.gsu.edu
    Yi Pan
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