

Beschreibung
This book presents a different approach to pattern recognition (PR) systems, in which users of a system are involved during the recognition process. This can help to avoid later errors and reduce the costs associated with post-processing. The book also examine...This book presents a different approach to pattern recognition (PR) systems, in which users of a system are involved during the recognition process. This can help to avoid later errors and reduce the costs associated with post-processing. The book also examines a range of advanced multimodal interactions between the machine and the users, including handwriting, speech and gestures. Features: presents an introduction to the fundamental concepts and general PR approaches for multimodal interaction modeling and search (or inference); provides numerous examples and a helpful Glossary; discusses approaches for computer-assisted transcription of handwritten and spoken documents; examines systems for computer-assisted language translation, interactive text generation and parsing, relevance-based image retrieval, and interactive document layout analysis; reviews several full working prototypes of multimodal interactive PR applications, including live demonstrations that can be publicly accessed on the Internet.
Provides a new interactive pattern recognition (PR) paradigm in which traditional PR and multimodal human interaction are fused together Provides numerous examples and a helpful Glossary Reviews several full working prototypes of multimodal interactive PR applications, including live demonstrations that can be publicly accessed through the Internet Includes supplementary material: sn.pub/extras
Autorentext
This book is edited by a team of experts from across the globe. Kirby I. Bland, MD, is based at the University of Alabama School of Medicine, Birmingham, AL, in the USA, where he is the Fay Fletcher Kerner Professor and Chairman of the Department of Surgery, and the Deputy Director at the Comprehensive Cancer Center. Michael G. Sarr, MD is the James C. Marson Professor of Surgery at the Mayo Clinic College of Medicine in Rochester, MN in the USA. Markus W. Büchler, MD, is a Professor of Surgery and the Chairman of the Department of General and Visceral Surgery at the University of Heidelberg in Germany. Attila Csendes, MD FACS(Hon) is a Professor of Surgery and the Chairman of the Department of Surgery at the University Hospital in Santiago, Chile. O. James Garden, MBChB MD FRCS(Ed) FRCP(Ed) FRACS(Hon), is the Regius Professor of Clinical Surgery at the Department of Clinical and Surgical Sciences at the University of Edinburgh and Royal Infirmary of Edinburgh in the UK. John Wong, BSc(Med(Syd)) MBBS(Syd) PhD(Syd) MD(Hon(Syd)) FRACS FRCS(Edin) FRCS(Glasg) FACS(Hon) is the Chair Professor for the Department of Surgery at The University of Hong Kong and Queen Mary Hospital in Hong Kong, China.
Klappentext
Many real-world applications of pattern recognition (PR) systems require human post-processing to correct the errors committed by machines. This can create bottlenecks in recognition systems, yielding high operational costs.
This important text/reference proposes a radically different approach to this problem, in which users of a system are involved during the recognition process. This can help to avoid later errors and reduce the costs associated with post-processing. The book also examines a range of advanced multimodal interactions between the machine and the users, including handwriting, speech and gestures.
Topics and features:
Dr. Alejandro Héctor Toselli is an Associate Professor at the Department of Computer Systems and Computation of the Polytechnic University of Valencia, Spain. Dr. Enrique Vidal and Dr. Francisco Casacuberta both hold the title of Full Professor at the same institution.
Inhalt
General Framework.- Computer Assisted Transcription: General Framework.- Computer Assisted Transcription of Text Images.- Computer Assisted Transcription of Speech Signals.- Active Learning and Interactive Handwritten Transcription.- Interactive Machine Translation.- Multi-modality for Interactive Machine Translation.- Incremental and Adaptive Learning for Interactive Machine Translation.- Interactive Parsing.- Interactive Text Generation.- Interactive Image Retrieval.- Prototypes and Demonstrators.
