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    NIPS
    1996
    101views Information Technology» more  NIPS 1996»
    Viewpoint Invariant Face Recognition using Independent Component Analysis and Attractor Networks
    15 years 7 months ago
    Viewpoint Invariant Face Recognition using Independent Component Analysis and Attractor Networks
    Download  papers.cnl.salk.edu
    Marian Stewart Bartlett, Terrence J. Sejnowski
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    COLING
    1992
    97views Computational Linguistics» more  COLING 1992»
    Using Linguistic, World, And Contextual Knowledge In A Plan Recognition Model Of Dialogue
    15 years 7 months ago
    Using Linguistic, World, And Contextual Knowledge In A Plan Recognition Model Of Dialogue
    Download  acl.ldc.upenn.edu
    This paper presents a plan-based model of dialogue that combines world, linguistic, and contextual knowledge in order to recognize complex communicative actions such as expressing...
    Lynn Lambert, Sandra Carberry
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    MVA
    1992
    88views Computer Vision» more  MVA 1992»
    Target Image Extraction for Face Recognition Using the Sub-Space Classification Method
    15 years 7 months ago
    Target Image Extraction for Face Recognition Using the Sub-Space Classification Method
    Download  b2.cvl.iis.u-tokyo.ac.jp
    Shigeru Akamatsu, Tsutomu Sasaki, Hideo Fukamachi,...
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    MVA
    1992
    73views Computer Vision» more  MVA 1992»
    Model Based Object Recognition Using Modified Coded Boundary Representation (MCBR) Method
    15 years 7 months ago
    Model Based Object Recognition Using Modified Coded Boundary Representation (MCBR) Method
    Download  b2.cvl.iis.u-tokyo.ac.jp
    Katsunori Inoue, Shuichi Fukuda, Masashi Okubo, To...
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    TREC
    2007
    148views Information Technology» more  TREC 2007»
    IITD-IBMIRL System for Question Answering Using Pattern Matching, Semantic Type and Semantic Category Recognition
    15 years 7 months ago
    IITD-IBMIRL System for Question Answering Using Pattern Matching, Semantic Type and Semantic Category Recognition
    Download  trec.nist.gov
    A Question Answering (QA) system aims to return exact answers to natural language questions. While today information retrieval techniques are quite successful at locating within l...
    Ashish Kumar Saxena, Ganesh Viswanath Sambhu, Saro...
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