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Semantic ScholarMachine Learning in Document Analysis and Recognition 2008
Simone Marinai, Hiromichi Fujisawa:
Machine Learning in Document Analysis and Recognition. Studies in Computational Intelligence 90, Springer 2008, ISBN 978-3-540-76279-9- Abdel Belaïd, Yves Rangoni:
Structure Extraction in Printed Documents Using Neural Approaches. 21-43 - Donato Malerba, Michelangelo Ceci, Margherita Berardi:
Machine Learning for Reading Order Detection in Document Image Understanding. 45-69 - Richard Zanibbi, Dorothea Blostein, James R. Cordy:
Decision-Based Specification and Comparison of Table Recognition Algorithms. 71-103 - Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro:
Machine Learning for Digital Document Processing: from Layout Analysis to Metadata Extraction. 105-138 - Cheng-Lin Liu, Hiromichi Fujisawa:
Classification and Learning Methods for Character Recognition: Advances and Remaining Problems. 139-161 - Stefan Jaeger, Huanfeng Ma, David S. Doermann:
Combining Classifiers with Informational Confidence. 163-191 - Simone Marinai, Emanuele Marino, Giovanni Soda:
Self-Organizing Maps for Clustering in Document Image Analysis. 193-219 - George Nagy, Sriharsha Veeramachaneni:
Adaptive and Interactive Approaches to Document Analysis. 221-257 - Sergey Tulyakov, Venu Govindaraju:
Learning Matching Score Dependencies for Classifier Combination. 305-332 - Tamás Varga, Horst Bunke:
Perturbation Models for Generating Synthetic Training Data in Handwriting Recognition. 333-360 - Sergey Tulyakov, Stefan Jaeger, Venu Govindaraju, David S. Doermann:
Review of Classifier Combination Methods. 361-386 - Sargur N. Srihari, Harish Srinivasan, Siyuan Chen, Matthew J. Beal:
Machine Learning for Signature Verification. 387-408 - Andreas Schlapbach, Horst Bunke:
Off-line Writer Identification and Verification Using Gaussian Mixture Models. 409-428
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