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    ICRA
    1995
    IEEE
    91views Robotics» more  ICRA 1995»
    Three-Dimensional Model Construction from Multiple Sensor Viewpoints
    14 years 2 months ago
    Three-Dimensional Model Construction from Multiple Sensor Viewpoints
    Download  www.cim.mcgill.ca
    2 Multi-view Integration: A Review We address the problem of constructing a boundary model of an object when the input consists of a set of points that lie on its surface. We assum...
    Stéphane Aubry, Vincent Hayward
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    EMNLP
    2007
    121views Natural Language Processing» more  EMNLP 2007»
    An Empirical Study on Computing Consensus Translations from Multiple Machine Translation Systems
    14 years 6 days ago
    An Empirical Study on Computing Consensus Translations from Multiple Machine Translation Systems
    Download  acl.ldc.upenn.edu
    This paper presents an empirical study on how different selections of input translation systems affect translation quality in system combination. We give empirical evidence that t...
    Wolfgang Macherey, Franz Josef Och
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    LREC
    2008
    137views Education» more  LREC 2008»
    Combining Multiple Models for Speech Information Retrieval
    14 years 6 days ago
    Combining Multiple Models for Speech Information Retrieval
    Download  www.lrec-conf.org
    In this article we present a method for combining different information retrieval models in order to increase the retrieval performance in a Speech Information Retrieval task. The...
    Muath Alzghool, Diana Inkpen
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    FLAIRS
    2001
    120views Artificial Intelligence» more  FLAIRS 2001»
    Multiple Predicate Learning for Document Image Understanding
    14 years 4 days ago
    Multiple Predicate Learning for Document Image Understanding
    Download  www.aaai.org
    Documentimageunderstandingdenotesthe recognition of semanticallyrelevant componentsin the layout extracted froma documentimage.This recognitionprocessis based on somevisual models...
    Floriana Esposito, Donato Malerba, Francesca A. Li...
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    NAACL
    2003
    152views Computational Linguistics» more  NAACL 2003»
    Learning to Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment
    14 years 4 days ago
    Learning to Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment
    Download  www.cs.cornell.edu
    We address the text-to-text generation problem of sentence-level paraphrasing — a phenomenon distinct from and more difficult than word- or phrase-level paraphrasing. Our appro...
    Regina Barzilay, Lillian Lee
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