Document Image Processing

Document Image Processing
Author: Ergina Kavallieratou
Publisher: MDPI
Total Pages: 217
Release: 2018-10-03
Genre: Technology & Engineering
ISBN: 3038971057

This book is a printed edition of the Special Issue "Document Image Processing" that was published in J. Imaging

The 9th International Conference on Computing and InformationTechnology (IC2IT2013)

The 9th International Conference on Computing and InformationTechnology (IC2IT2013)
Author: Phayung Meesad
Publisher: Springer Science & Business Media
Total Pages: 312
Release: 2013-03-26
Genre: Technology & Engineering
ISBN: 3642373712

This volume contains the papers of the 9th International Conference on Computing and Information Technology (IC2IT 2013) held at King Mongkut's University of Technology North Bangkok (KMUTNB), Bangkok, Thailand, on May 9th-10th, 2013. Traditionally, the conference is organized in conjunction with the National Conference on Computing and Information Technology, one of the leading Thai national events in the area of Computer Science and Engineering. The conference as well as this volume is structured into 3 main tracks on Data Networks/Communication, Data Mining/Machine Learning, and Human Interfaces/Image processing.

Image Analysis and Processing -- ICIAP 2009

Image Analysis and Processing -- ICIAP 2009
Author: Pasquale Foggia
Publisher: Springer
Total Pages: 1075
Release: 2009-08-29
Genre: Computers
ISBN: 3642041469

This book constitutes the refereed proceedings of the 15th International Conference on Image Analysis and Processing, ICIAP 2009, held in Vietri sul Mare, Italy, in September 2009. The 107 revised full papers presented together with 3 invited papers were carefully reviewed and selected from 168 submissions. The papers are organized in topical sections on computer graphics and image processing, low and middle level processing, 2D and 3D segmentation, feature extraction and image analysis, object detection and recognition, video analysis and processing, pattern analysis and classification, learning, graphs and trees, applications, shape analysis, face analysis, medical imaging, and image analysis and pattern recognition.

Handbook of Pattern Recognition and Computer Vision

Handbook of Pattern Recognition and Computer Vision
Author: Chi-hau Chen
Publisher: World Scientific
Total Pages: 797
Release: 2010
Genre: Computers
ISBN: 9814273392

Both pattern recognition and computer vision have experienced rapid progress in the last twenty-five years. This book provides the latest advances on pattern recognition and computer vision along with their many applications. It features articles written by renowned leaders in the field while topics are presented in readable form to a wide range of readers. The book is divided into five parts: basic methods in pattern recognition, basic methods in computer vision and image processing, recognition applications, life science and human identification, and systems and technology. There are eight new chapters on the latest developments in life sciences using pattern recognition as well as two new chapters on pattern recognition in remote sensing.

Guide to OCR for Indic Scripts

Guide to OCR for Indic Scripts
Author: Venu Govindaraju
Publisher: Springer Science & Business Media
Total Pages: 334
Release: 2009-09-25
Genre: Computers
ISBN: 1848003307

This is the first comprehensive text on Optical Character Recognition for Indic scripts. It covers many topics and describes OCR systems for eight different scripts—Bangla, Devanagari, Gurmukhi, Gujarti, Kannada, Malayalam, Tamil and Urdu.

Emerging Research in Electronics, Computer Science and Technology

Emerging Research in Electronics, Computer Science and Technology
Author: V. Sridhar
Publisher: Springer
Total Pages: 1453
Release: 2019-04-24
Genre: Technology & Engineering
ISBN: 9811358028

This book presents the proceedings of the International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT) organized by PES College of Engineering in Mandya. Featuring cutting-edge, peer-reviewed articles from the field of electronics, computer science and technology, it is a valuable resource for members of the scientific research community.

Diagrammatic Representation and Inference

Diagrammatic Representation and Inference
Author: Gem Stapleton
Publisher: Springer Science & Business Media
Total Pages: 455
Release: 2008-09-10
Genre: Computers
ISBN: 3540877290

Diagrams is an international and interdisciplinary conference series, covering all aspects of research on the theory and application of diagrams. Recent technological advances have enabled the large-scale adoption of d- grams in a diverse range of areas. Increasingly sophisticated visual represen- tions are emerging and, to enable e?ective communication, insight is required into how diagrams are used and when they are appropriate for use. The per- sive, everyday use of diagrams for communicating information and ideas serves to illustrate the importance of providing a sound understanding of the role that diagrams can, and do, play. Research in the ?eld of diagrams aims to improve our understanding of the role of diagrams, sketches and other visualizations in communication, computation, cognition, creative thought, and problem solving. These concerns have triggered a surge of interest in the study of diagrams. The study of diagrammatic communication as a whole must be pursued as an interdisciplinary endeavour.Diagrams 2008 was the ?fth event in this conf- ence series, which was launched in Edinburghduring September 2000.Diagrams attracts a large number of researchers from virtually all related ?elds, placing the conference as a major international event in the area. Diagrams is the only conference that provides a united forum for all areas that are concerned with the study of diagrams: for example, architecture, - ti?cial intelligence, cartography, cognitive science, computer science, education, graphicdesign,historyofscience,human-computerinteraction,linguistics,logic, mathematics,philosophy,psychology,andsoftwaremodelling.Weseeissuesfrom all of these ?elds discussed in the papers collected in the present volume.

Artificial Intelligence XXXVIII

Artificial Intelligence XXXVIII
Author: Max Bramer
Publisher: Springer Nature
Total Pages: 387
Release: 2021-12-06
Genre: Computers
ISBN: 3030911004

This book constitutes the proceedings of the 41st SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2021, which was supposed to be held in Cambridge, UK, in December 2021. The conference was held virtually due to the COVID-19 pandemic. The 22 full papers and 10 short papers presented in this volume were carefully reviewed and selected from 37 submissions. The volume includes technical papers presenting new and innovative developments in the field as well as application papers presenting innovative applications of AI techniques in a number of subject domains. The papers are organized in the following topical sections: technical paper; machine learning; AI techniques; short technical stream papers; application papers; applications of machine learning; AI for medicine; advances in applied AI; and short application stream papers.

Deep Learning

Deep Learning
Author: Manel Martinez-Ramon
Publisher: John Wiley & Sons
Total Pages: 421
Release: 2024-07-08
Genre: Computers
ISBN: 1119861888

An engaging and accessible introduction to deep learning perfect for students and professionals In Deep Learning: A Practical Introduction, a team of distinguished researchers delivers a book complete with coverage of the theoretical and practical elements of deep learning. The book includes extensive examples, end-of-chapter exercises, homework, exam material, and a GitHub repository containing code and data for all provided examples. Combining contemporary deep learning theory with state-of-the-art tools, the chapters are structured to maximize accessibility for both beginning and intermediate students. The authors have included coverage of TensorFlow, Keras, and Pytorch. Readers will also find: Thorough introductions to deep learning and deep learning tools Comprehensive explorations of convolutional neural networks, including discussions of their elements, operation, training, and architectures Practical discussions of recurrent neural networks and non-supervised approaches to deep learning Fulsome treatments of generative adversarial networks as well as deep Bayesian neural networks Perfect for undergraduate and graduate students studying computer vision, computer science, artificial intelligence, and neural networks, Deep Learning: A Practical Introduction will also benefit practitioners and researchers in the fields of deep learning and machine learning in general.