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    EMNLP
    2009
    147views Natural Language Processing» more  EMNLP 2009»
    Discriminative Corpus Weight Estimation for Machine Translation
    13 years 8 months ago
    Discriminative Corpus Weight Estimation for Machine Translation
    Download  aclweb.org
    Current statistical machine translation (SMT) systems are trained on sentencealigned and word-aligned parallel text collected from various sources. Translation model parameters ar...
    Spyros Matsoukas, Antti-Veikko I. Rosti, Bing Zhan...
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    EUSFLAT
    2009
    125views Fuzzy Logic» more  EUSFLAT 2009»
    A Dynamic Classification Method for the Discrimination of Evolving Data
    13 years 8 months ago
    A Dynamic Classification Method for the Discrimination of Evolving Data
    Download  www.eusflat.org
    Classes issued of evolving systems are dynamic and their characteristics vary over the time. Assigning a pattern to a class is achieved using a classifier. Therefore, the classifie...
    Laurent Hartert, Moamar Sayed Mouchaweh, Patrice B...
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    GLOBECOM
    2009
    IEEE
    187views Communications» more  GLOBECOM 2009»
    A Low-Complexity Algorithm for Uplink Scheduling in Cooperative Cellular Networks with a Capacity-Constrained Backhaul Infrastru
    13 years 8 months ago
    A Low-Complexity Algorithm for Uplink Scheduling in Cooperative Cellular Networks with a Capacity-Constrained Backhaul Infrastru
    Download  mns.ifn.et.tu-dresden.de
    Today, it is well understood that interference poses the main capacity limitation and thus challenge for future cellular networks. A promising concept that addresses interference i...
    Fabian Diehm, Patrick Marsch, Gerhard Fettweis, Bh...
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    ICDAR
    2009
    IEEE
    204views Document Analysis» more  ICDAR 2009»
    Unconstrained Handwritten Document Layout Extraction Using 2D Conditional Random Fields
    13 years 8 months ago
    Unconstrained Handwritten Document Layout Extraction Using 2D Conditional Random Fields
    Download  www.cvc.uab.es
    The paper describes a new approach using a Conditional Random Fields (CRFs) to extract physical and logical layouts in unconstrained handwritten letters such as those sent by indi...
    Florent Montreuil, Emmanuele Grosicki, Laurent Heu...
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    ICMLA
    2009
    169views Machine Learning» more  ICMLA 2009»
    Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures
    13 years 8 months ago
    Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures
    Download  www.ipb.uni-bonn.de
    Abstract--This paper presents a novel and domainindependent approach for graph-based structure learning. The approach is based on solving the Maximum Common SubgraphIsomorphism pro...
    Johannes Hartz
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