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Working memory has been one of the most intensively studied systems in cognitive psychology. It is only relatively recently however that researchers have been able to study the neural processes might underlie working memory, leading to a proliferation of research in this domain. The Cognitive Neuroscience of Working Memory brings together leading researchers from around the world to summarize current knowledge of this field, and directions for future research. An historical opening chapter by Alan Baddeley and Graham Hitch sets the context for the subsequent chapters. The scope of the book is exceptionally broad, providing a showcase for cutting edge research on all contemporary concepts of working memory, using techniques from experimental psychology, single cell recording, neuropsychology, cognitive neuroimaging and computational modelling. The Cognitive Neuroscience of Working Memory will be an important reference text for all those seeking an authoritative and comprehensive synthesis of this field.
This volume contains information about the automatic acquisition of biographic knowledge from encyclopedic texts, Web interaction and the navigation problem in hypertext.
This tightly-edited collection of papers from leading researchers worldwide provides an overview of the current state-of-the-art in the field of multimedia data mining and knowledge discovery, and discusses the variety of hot topics in multimedia data mining research. Consisting of an introductory section and four topical parts, the book describes the objectives and current tendencies in multimedia data mining research and their applications. Each part contains an overview of its chapters and leads the reader with a structured approach through the diverse subjects in the field. Written with graduates in mind, this much needed comprehensive reflection of the current state of multimedia data m...
This book constitutes the refereed proceedings of the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2006, held in Singapore in April 2006. The 67 revised full papers and 33 revised short papers presented together with 3 invited talks were carefully reviewed and selected from 501 submissions. The papers are organized in topical sections on Classification, Ensemble Learning, Clustering, Support Vector Machines, Text and Document Mining, Web Mining, Bio-Data Mining, and more.
Until recently, databases contained easily indexed numbers and text. Today, in the age of powerful, graphically based computers, and the world wide web, databases are likely to contain a much greater variety of data forms, including images, sound, video clips, and even handwritten documents. When multimedia databases are the norm, traditional methods of working with databases no longer apply. How do you query a video library, or an image database containing x-rays, or sounds in an audio database? Principles of Multimedia Database Systems explains how to work with these new multimedia data forms. It is the first comprehensive treatment of the skills and techniques required to build, maintain,...
Selected, peer reviewed papers from the 2014 International Conference on Advances in Materials Science and Information Technologies in Industry (AMSITI 2014), January 11-12, 2014, Xi’an, China