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    ICVGIP
    2008
    146views Computer Vision» more  ICVGIP 2008»
    Implementation of the "Local Rank Differences" Image Feature Using SIMD Instructions of CPU
    15 years 5 months ago
    Implementation of the "Local Rank Differences" Image Feature Using SIMD Instructions of CPU
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    Usage of statistical classifiers, namely AdaBoost and its modifications, in object detection and pattern recognition is a contemporary and popular trend. The computatiponal perfor...
    Adam Herout, Pavel Zemcík, Roman Jurá...
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    115
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    LREC
    2008
    97views Education» more  LREC 2008»
    Enhancing an English-Polish Electronic Dictionary for Multiword Expression Research
    15 years 5 months ago
    Enhancing an English-Polish Electronic Dictionary for Multiword Expression Research
    Download  www.lrec-conf.org
    This paper describes a project aimed at converting a legacy representation of English idioms into an XML-based format. The project is set in the context of a large electronic Engl...
    Piotr Banski, Radoslaw Moszczynski
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    105
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    LREC
    2008
    125views Education» more  LREC 2008»
    Adaptation of Relation Extraction Rules to New Domains
    15 years 5 months ago
    Adaptation of Relation Extraction Rules to New Domains
    Download  www.lrec-conf.org
    This paper presents various strategies for improving the extraction performance of less prominent relations with the help of the rules learned for similar relations, for which lar...
    Feiyu Xu, Hans Uszkoreit, Hong Li, Niko Felger
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    122
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    PST
    2008
    108views Security Privacy» more  PST 2008»
    Utility of Knowledge Extracted from Unsanitized Data when Applied to Sanitized Data
    15 years 5 months ago
    Utility of Knowledge Extracted from Unsanitized Data when Applied to Sanitized Data
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    Knowledge discovery systems extract knowledge from data that can be used for making prediction about incomplete data items. Utility is a measure of the usefulness of the discovere...
    Michal Sramka, Reihaneh Safavi-Naini, Jörg De...
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    117
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    SDM
    2008
    SIAM
    97views Data Mining» more  SDM 2008»
    Efficient Distribution Mining and Classification
    15 years 5 months ago
    Efficient Distribution Mining and Classification
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    We define and solve the problem of "distribution classification", and, in general, "distribution mining". Given n distributions (i.e., clouds) of multi-dimensi...
    Yasushi Sakurai, Rosalynn Chong, Lei Li, Christos ...
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