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Title Detection and identification of rare audiovisual cues / Daphna Weinshall, Jörn Anemüller, and Luc van Gool (eds.)
Published Berlin : Springer Berlin Heidelberg, [2012]
©2012
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Description 1 online resource (viii, 190 pages) : illustrations (some color)
Series Studies in computational intelligence, 1860-949X ; v. 384
Studies in computational intelligence ; v. 384
Contents Introduction -- The DIRAC project -- The detection of incongruent events, project survey and algorithms -- Alternative frameworks to detect meaningful novel events -- Dealing with meaningful novel events, what to do after detection -- How biological systems deal with novel and incongruent events
Summary Machine learning builds models of the world using training data from the application domain and prior knowledge about the problem. The models are later applied to future data in order to estimate the current state of the world. An implied assumption is that the future is stochastically similar to the past. The approach fails when the system encounters situations that are not anticipated from the past experience. In contrast, successful natural organisms identify new unanticipated stimuli and situations and frequently generate appropriate responses. The observation described above lead to the initiation of the DIRAC EC project in 2006. In 2010 a workshop was held, aimed to bring together researchers and students from different disciplines in order to present and discuss new approaches for identifying and reacting to unexpected events in information-rich environments. This book includes a summary of the achievements of the DIRAC project in chapter 1, and a collection of the papers presented in this workshop in the remaining parts
Analysis Engineering
Bibliography Includes bibliographical references and index
Subject Machine learning.
Incongruity.
Form Electronic book
Author Weinshall, Daphna.
Anemüller, Jörn.
Gool, Luc van.
LC no. 2011938287
ISBN 364224033X (hbk. ; alk. paper)
3642240348 (electronic bk.)
9783642240331 (hbk. ; alk. paper)
9783642240348 (electronic bk.)