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    SEKE
    1993
    Springer
    83views Software Engineering» more  SEKE 1993»
    A Neural Net-Based Approach to Software Metrics
    14 years 24 days ago
    A Neural Net-Based Approach to Software Metrics
    Download  sce.uhcl.edu
    Software metrics provide effective methods for characterizing software. Metrics have traditionally been composed through the definition of an equation, but this approach is limite...
    Gary D. Boetticher, K. Srinivas, David Eichmann
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    BC
    2006
    105views more  BC 2006»
    A stochastic population approach to the problem of stable recruitment hierarchies in spiking neural networks
    13 years 8 months ago
    A stochastic population approach to the problem of stable recruitment hierarchies in spiking neural networks
    Download  www.cacs.louisiana.edu
    Recruitment learning in hierarchies is an inherently unstable process (Valiant, 1994). This paper presents conditions on parameters for a feedforward network to ensure stable recru...
    Cengiz Günay, Anthony S. Maida
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    VLSISP
    2002
    114views more  VLSISP 2002»
    Image processing using cellular neural networks based on multi-valued and universal binary neurons
    13 years 8 months ago
    Image processing using cellular neural networks based on multi-valued and universal binary neurons
    Download  diec.unizar.es
    Multi-valued and universal binary neurons (MVN and UBN) are the neural processing elements with the complex-valued weights and high functionality. It is possible to implement an a...
    Igor N. Aizenberg, Constantine Butakoff
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    ICDAR
    2009
    IEEE
    117views Document Analysis» more  ICDAR 2009»
    Low Cost Correction of OCR Errors Using Learning in a Multi-Engine Environment
    13 years 6 months ago
    Low Cost Correction of OCR Errors Using Learning in a Multi-Engine Environment
    Download  www.cvc.uab.es
    We propose a low cost method for the correction of the output of OCR engines through the use of human labor. The method employs an error estimator neural network that learns to as...
    Ahmad Abdulkader, Mathew R. Casey
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    ICASSP
    2008
    IEEE
    161views Signal Processing» more  ICASSP 2008»
    Effective error prediction using decision tree for ASR grammar network in call system
    14 years 3 months ago
    Effective error prediction using decision tree for ASR grammar network in call system
    Download  www.ar.media.kyoto-u.ac.jp
    CALL (Computer Assisted Language Learning) systems using ASR (Automatic Speech Recognition) for second language learning have received increasing interest recently. However, it st...
    Hongcui Wang, Tatsuya Kawahara
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