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    LREC
    2010
    151views Education» more  LREC 2010»
    FastKwic, an "Intelligent" Concordancer Using FASTR
    14 years 11 days ago
    FastKwic, an "Intelligent" Concordancer Using FASTR
    Download  www.lrec-conf.org
    In this paper, we introduce the FastKwic (Key Word In Context using FASTR), a new concordancer for French and English that does not require users to learn any particular request l...
    Véronika Lux-Pogodalla, Dominique Besagni, ...
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    AAAI
    1996
    120views Intelligent Agents» more  AAAI 1996»
    A Hybrid Learning Approach for Better Recognition of Visual Objects
    14 years 7 days ago
    A Hybrid Learning Approach for Better Recognition of Visual Objects
    Download  www.aaai.org
    Real world images often contain similar objects but with different rotations, noise, or other visual alterations. Vision systems should be able to recognize objects regardless of ...
    Ibrahim F. Imam, Srinivas Gutta
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    NIPS
    2004
    110views Information Technology» more  NIPS 2004»
    Learning Hyper-Features for Visual Identification
    14 years 9 days ago
    Learning Hyper-Features for Visual Identification
    Download  books.nips.cc
    We address the problem of identifying specific instances of a class (cars) from a set of images all belonging to that class. Although we cannot build a model for any particular in...
    Andras Ferencz, Erik G. Learned-Miller, Jitendra M...
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    KDD
    2009
    ACM
    249views Data Mining» more  KDD 2009»
    Drosophila gene expression pattern annotation using sparse features and term-term interactions
    14 years 11 months ago
    Drosophila gene expression pattern annotation using sparse features and term-term interactions
    Download  www.public.asu.edu
    The Drosophila gene expression pattern images document the spatial and temporal dynamics of gene expression and they are valuable tools for explicating the gene functions, interac...
    Shuiwang Ji, Lei Yuan, Ying-Xin Li, Zhi-Hua Zhou, ...
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    GECCO
    2007
    Springer
    158views Optimization» more  GECCO 2007»
    A novel generative encoding for exploiting neural network sensor and output geometry
    14 years 5 months ago
    A novel generative encoding for exploiting neural network sensor and output geometry
    Download  eplex.cs.ucf.edu
    A significant problem for evolving artificial neural networks is that the physical arrangement of sensors and effectors is invisible to the evolutionary algorithm. For example,...
    David B. D'Ambrosio, Kenneth O. Stanley
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