Proceedings 2003 Symposium on Document Image Understanding Technology
Author: David Doermann
Publisher: UMD
Published: 2003
Total Pages: 362
ISBN-13: 9780977943647
DOWNLOAD EBOOKRead and Download eBook Full
Author: David Doermann
Publisher: UMD
Published: 2003
Total Pages: 362
ISBN-13: 9780977943647
DOWNLOAD EBOOKAuthor: University of Maryland/UMIACS
Publisher: UMD
Published: 2005
Total Pages: 260
ISBN-13: 9780977943654
DOWNLOAD EBOOKAuthor: David Doermann
Publisher: UMD
Published: 1995-10
Total Pages: 276
ISBN-13: 9780977943609
DOWNLOAD EBOOKAuthor: David Doermann
Publisher: UMD
Published: 1999
Total Pages: 348
ISBN-13: 9780977943623
DOWNLOAD EBOOKAuthor: David Doermann
Publisher: UMD
Published: 2001
Total Pages: 354
ISBN-13: 9780977943630
DOWNLOAD EBOOKAuthor: David Doermann
Publisher: UMD
Published: 1997
Total Pages: 334
ISBN-13: 9780977943616
DOWNLOAD EBOOKAuthor:
Publisher:
Published: 2003
Total Pages: 356
ISBN-13:
DOWNLOAD EBOOKAuthor: Simone Marinai
Publisher: Springer Science & Business Media
Published: 2008-01-10
Total Pages: 435
ISBN-13: 3540762795
DOWNLOAD EBOOKThe objective of Document Analysis and Recognition (DAR) is to recognize the text and graphical components of a document and to extract information. This book is a collection of research papers and state-of-the-art reviews by leading researchers all over the world. It includes pointers to challenges and opportunities for future research directions. The main goal of the book is to identify good practices for the use of learning strategies in DAR.
Author: Aurélio Campilho
Publisher: Springer Science & Business Media
Published: 2008-06-16
Total Pages: 1146
ISBN-13: 3540698116
DOWNLOAD EBOOKNon-linear image processing -- Color photo denoising via hue, saturation and intensity diffusion / Lei He and Chenyang Xu -- Examining the role of scale in the context of the non-local-means filter / Mehran Ebrahimi and Edward R. Vrscay -- Geometrical mutliscale noise resistant method of edge detection / Agnieszka Lisowska -- A simple, general model for the affine self-similarity of images / SImon K. Alexander, Edward R. Vrscay, and Satoshi Tsurumi -- Image and video coding and encryption -- Efficient bit-rate estimation for mode decision of H. 264 / AVC / Shuwei Sun and Shuming Chen -- Introducing a two dimensional measure for watermarking capacity in images / Farzin Yaghmaee and Mansour Jamzad -- Estimating the detectability of small lesions in high resolution MR compressed images / Juan Paz, Marlen Pérez, Iroel Miranda, and Peter Schelkens -- JPEG artifact removal using error distributions of linear coefficient estimates / Mika Inki --
Author: Tarek Gaber
Publisher: Springer
Published: 2015-11-09
Total Pages: 517
ISBN-13: 331926690X
DOWNLOAD EBOOKThe conference topics address different theoretical and practical aspects, and implementing solutions for intelligent systems and informatics disciplines including bioinformatics, computer science, medical informatics, biology, social studies, as well as robotics research. The conference also discuss and present solutions to the cloud computing and big data mining which are considered hot research topics. The conference papers discussed different topics – techniques, models, methods, architectures, as well as multi aspect, domain-specific, and new solutions for the above disciplines. The accepted papers have been grouped into five parts: Part I—Intelligent Systems and Informatics, addressing topics including, but not limited to, medical application, predicting student performance, action classification, and detection of dead stained microscopic cells, optical character recognition, plant identification, rehabilitation of disabled people. Part II—Hybrid Intelligent Systems, addressing topics including, but not limited to, EMG signals, text classification, geomagnetic inverse problem, email filtering. Part III—Multimedia Computing and Social Networks, addressing topics including, but not limited to, augmented reality, telepresence robot, video flash matting, community detection, quality images, face thermal image extraction, MRI tumor segmentation. Part V—Cloud Computing and Big Data Mining, discussing topics including, but not limited to, mining on microblogs, query optimization, big data classification, access control, friendsourcing, and assistive technology. Part VI—Swarm Optimization and Its Applications, addressing topics including, but not limited to, solving set covering problem, adaptive PSO for CT liver segmentation, water quality assessment, attribute reduction, fish detection, solving manufacturing cell design problem.