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    Inspection Copy
     

    ADVANCES IN PATTERN RECOGNITION SYSTEMS USING NEURAL NETWORK TECHNOLOGIES

    edited by I Guyon (AT&T Bell Labs.) & P S P Wang (Northeastern Univ.)

     
    Contents:
    • A Connectionist Approach to Speech Recognition (Y Bengio)
    • Signature Verification Using a “Siamese” Time Delay Neural Network (J Bromley et al.)
    • Boosting Performance in Neural Networks (H Drucker et al.)
    • An Integrated Architecture for Recognition of Totally Unconstrained Handwritten Numerals (A Gupta et al.)
    • Time-Warping Network: A Neural Approach to Hidden Markov Model Based Speech Recognition (E Levin et al.)
    • Computing Optical Flow with a Recurrent Neural Network (H Li & J Wang)
    • Integrated Segmentation and Recognition through Exhaustive Scans or Learned Saccadic Jumps (G L Martin et al.)
    • Experimental Comparison of the Effect of Order in Recurrent Neural Networks (C B Miller & C L Giles)
    • Adaptive Classification by Neural Net Based Prototype Populations (K Peleg & U Ben-Hanan)
    • A Neural System for the Recognition of Partially Occluded Objects in Cluttered Scenes: A Pilot Study (L Wiskott & C von der Malsburg)
    • and other papers
     
    Readership: Computer scientists and engineers.
     


     
     

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    Updated on 20 November 2009