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Detection and Identification of Rare Audiovisual Cues Volume 384 || by Jörn Anemüller, Barbara Caputo, Hynek Hermansky, Frank W. Ohl, Tomas Pajdla (auth.), Daphna Weinshall, Jörn Anemüller, Luc van Gool (eds.) is a nonfiction available to read on EtoBox.

What is Detection and Identification of Rare Audiovisual Cues Volume 384 || about?

"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"--SpringerLink

Who reads Detection and Identification of Rare Audiovisual Cues Volume 384 ||?

Author

Jörn Anemüller, Barbara Caputo, Hynek Hermansky, Frank W. Ohl, Tomas Pajdla (auth.), Daphna Weinshall, Jörn Anemüller, Luc van Gool (eds.)

Publisher

Springer Berlin Heidelberg

Published

2012

Language

EN

ISBN

9783642240348

Category

nonfiction

Subjects

Engineering, Computer Science, Science