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Titlebook: Detection and Identification of Rare Audio-visual Cues; Daphna Weinshall,Jörn Anemüller,Luc Gool Book 2012 Springer Berlin Heidelberg 2012

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书目名称Detection and Identification of Rare Audio-visual Cues
编辑Daphna Weinshall,Jörn Anemüller,Luc Gool
视频video
概述Recent research in Detection and Identification of Rare Audiovisual Cues.Scientific outcome of the European project DIRAC (Detection and Identification of Rare Audio-visual Cues).Written by leading ex
丛书名称Studies in Computational Intelligence
图书封面Titlebook: Detection and Identification of Rare Audio-visual Cues;  Daphna Weinshall,Jörn Anemüller,Luc Gool Book 2012 Springer Berlin Heidelberg 2012
描述.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. .
出版日期Book 2012
关键词Computational Intelligence; Detection of Rare Audiovisual Cues; Identification of Rare Audiovisual Cue
版次1
doihttps://doi.org/10.1007/978-3-642-24034-8
isbn_softcover978-3-642-26972-1
isbn_ebook978-3-642-24034-8Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer Berlin Heidelberg 2012
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M. M. A. Homeida,T. K. Daneshmendnd general levels of a classifier hierarchy which encodes the understanding a machine currently has of the world. We present an application of this theory, a hierarchy of classifiers describing an audio-visual speaker detector, and show successful incongruence detection on sequences acquired by a st
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