Marinai, Simone

Machine Learning in Document Analysis and Recognition Ed by Simone Marinai and Hiromichi Fujisawa - Heidelberg Springer-Verlag 2008 - 433p

Introduction to Document Analysis and Recognition Structure Extraction in Print 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 Documents 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

9783540762799 0.00


Computer Engineering

006.31 / MAC

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