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Printed and Handwritten Document Analysis

A Machine Learning Perspective

Swapan Kumar Parui, Ujjwal Bhattacharya (Autoren)

Buch | Hardcover

525 Seiten

2019
Apple Academic Press Inc. (Verlag)
978-1-4822-1962-3 (ISBN)

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Presents the fundamentals of machine learning tools and presents their connection to document analysis issues
Familiarizes readers with the graphical model issues in terms of their theoretical background as well as their applicability in document analysis
Addresses circular distributions have potential applications in online handwriting recognition and in color scene text image segmentation

Introduction to Machine Learning. Probability Distributions. Graphical Models. Hidden Markov Model. Neural Networks. Kernel Based Methods. Classifier Combination. Introduction to Document Analysis. Sample Databases. Preprocessing. Layout Analysis. Segmentation. Printed and Offline Handwritten Document Recognition. Online Handwriting Recognition. Applications.

Erscheint lt. Verlag	15.6.2019
Verlagsort	Oakville
Sprache	englisch
Maße	156 x 234 mm
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
	Informatik ► Netzwerke ► Sicherheit / Firewall
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Technik ► Elektrotechnik / Energietechnik
ISBN-10	1-4822-1962-X / 148221962X
ISBN-13	978-1-4822-1962-3 / 9781482219623
Zustand	Neuware