Printed and Handwritten Document Analysis : A Machine Learning Perspective ebook
Printed and Handwritten Document Analysis : A Machine Learning Perspective ebook
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Author: Ujjwal Bhattacharya
Page Count: 525 pages
Published Date: 15 Jun 2016
Publisher: Apple Academic Press Inc.
Publication Country: Oakville, Canada
Language: English
ISBN: 9781482219623
File Name: Printed.and.Handwritten.Document.Analysis.A.Machine.Learning.Perspective.pdf
Download Link: Printed and Handwritten Document Analysis A Machine Learning Perspective
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This reference book presents the fundamentals of machine learning tools commonly used by researchers. The book includes graphical models like Bayesian networks and hidden Markov models with wider application potentials in the document analysis area. It also covers distributions that have not yet been used, such as circular distributions with potential use in handwriting recognition and in color scene text image segmentation. The book also details which-and how-these machine learning tools are useful at different stages. A full chapter is devoted to online handwriting recognition
Read online Printed and Handwritten Document Analysis : A Machine Learning Perspective Buy Printed and Handwritten Document Analysis : A Machine Learning Perspective Download Printed and Handwritten Document Analysis : A Machine Learning Perspective for pc, mac, kindle, readers Download to iPad/iPhone/iOS, B&N nook Printed and Handwritten Document Analysis : A Machine Learning Perspective
Printed and Handwritten Document Analysis : A Machine Learning Perspective by Ujjwal Bhattacharya
Author: Ujjwal Bhattacharya
Page Count: 525 pages
Published Date: 15 Jun 2016
Publisher: Apple Academic Press Inc.
Publication Country: Oakville, Canada
Language: English
ISBN: 9781482219623
File Name: Printed.and.Handwritten.Document.Analysis.A.Machine.Learning.Perspective.pdf
Download Link: Printed and Handwritten Document Analysis A Machine Learning Perspective
---------------------------------------------------------------
This reference book presents the fundamentals of machine learning tools commonly used by researchers. The book includes graphical models like Bayesian networks and hidden Markov models with wider application potentials in the document analysis area. It also covers distributions that have not yet been used, such as circular distributions with potential use in handwriting recognition and in color scene text image segmentation. The book also details which-and how-these machine learning tools are useful at different stages. A full chapter is devoted to online handwriting recognition
Read online Printed and Handwritten Document Analysis : A Machine Learning Perspective Buy Printed and Handwritten Document Analysis : A Machine Learning Perspective Download Printed and Handwritten Document Analysis : A Machine Learning Perspective for pc, mac, kindle, readers Download to iPad/iPhone/iOS, B&N nook Printed and Handwritten Document Analysis : A Machine Learning Perspective