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02331nam a22003375i 4500 |
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978-3-540-76280-5 |
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20191022141910.0 |
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cr nn 008mamaa |
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100301s2008 gw | s |||| 0|eng d |
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|a 9783540762805
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|a 10.1007/978-3-540-76280-5
|2 doi
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|a Sistema de Bibliotecas del Tecnológico de Costa Rica
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|a Machine Learning in Document Analysis and Recognition
|c edited by Simone Marinai, Hiromichi Fujisawa.
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|a 1st ed. 2008.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2008.
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|a XII, 434 p. 142 illus.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Studies in Computational Intelligence,
|v 90
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|a to Document Analysis and Recognition -- Structure Extraction in Printed Documents Using Neural Approaches -- Machine Learning for Reading Order Detection in Document Image Understanding -- Decision-Based Specification and Comparison of Table Recognition Algorithms -- Machine Learning for Digital Document Processing: from Layout Analysis to Metadata Extraction -- Classification and Learning Methods for Character Recognition: Advances and Remaining Problems -- Combining Classifiers with Informational Confidence -- Self-Organizing Maps for Clustering in Document Image Analysis -- Adaptive and Interactive Approaches to Document Analysis -- Cursive Character Segmentation Using Neural Network Techniques -- Multiple Hypotheses Document Analysis -- Learning Matching Score Dependencies for Classifier Combination -- Perturbation Models for Generating Synthetic Training Data in Handwriting Recognition -- Review of Classifier Combination Methods -- Machine Learning for Signature Verification -- Off-line Writer Identification and Verification Using Gaussian Mixture Models.
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|a Applied mathematics.
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|a Engineering mathematics.
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|a Artificial intelligence.
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|a Mathematical and Computational Engineering.
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|a Artificial Intelligence.
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|a Marinai, Simone.
|e editor.
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|a Fujisawa, Hiromichi.
|e editor.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|u https://doi.org/10.1007/978-3-540-76280-5
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