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    NAACL
    2003
    118views Computational Linguistics» more  NAACL 2003»
    Language and Task Independent Text Categorization with Simple Language Models
    13 years 10 months ago
    Language and Task Independent Text Categorization with Simple Language Models
    Download  acl.ldc.upenn.edu
    We present a simple method for language independent and task independent text categorization learning, based on character-level n-gram language models. Our approach uses simple in...
    Fuchun Peng, Dale Schuurmans, Shaojun Wang
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    IJCV
    2006
    206views more  IJCV 2006»
    Highly Accurate Optic Flow Computation with Theoretically Justified Warping
    13 years 8 months ago
    Highly Accurate Optic Flow Computation with Theoretically Justified Warping
    Download  www.mia.uni-saarland.de
    In this paper, we suggest a variational model for optic flow computation based on non-linearised and higher order constancy assumptions. Besides the common grey value constancy ass...
    Nils Papenberg, Andrés Bruhn, Thomas Brox, ...
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    JAIR
    2006
    157views more  JAIR 2006»
    Decision-Theoretic Planning with non-Markovian Rewards
    13 years 8 months ago
    Decision-Theoretic Planning with non-Markovian Rewards
    Download  www.jair.org
    A decision process in which rewards depend on history rather than merely on the current state is called a decision process with non-Markovian rewards (NMRDP). In decisiontheoretic...
    Sylvie Thiébaux, Charles Gretton, John K. S...
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    PAMI
    2006
    215views more  PAMI 2006»
    Bayesian Feature and Model Selection for Gaussian Mixture Models
    13 years 8 months ago
    Bayesian Feature and Model Selection for Gaussian Mixture Models
    Download  www.cs.uoi.gr
    We present a Bayesian method for mixture model training that simultaneously treats the feature selection and the model selection problem. The method is based on the integration of ...
    Constantinos Constantinopoulos, Michalis K. Titsia...
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    EMNLP
    2009
    165views Natural Language Processing» more  EMNLP 2009»
    Automatically Evaluating Content Selection in Summarization without Human Models
    13 years 6 months ago
    Automatically Evaluating Content Selection in Summarization without Human Models
    Download  www.aclweb.org
    We present a fully automatic method for content selection evaluation in summarization that does not require the creation of human model summaries. Our work capitalizes on the assu...
    Annie Louis, Ani Nenkova
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