Detection and Identification of Rare Audio-visual Cues

Beschreibung

Druck auf Anfrage Neuware - Printed after ordering - 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.

Bestandsnummer des Verkäufers 9783642269721

Verkäufer kontaktieren

Diesen Artikel melden

Bibliografische Details

Titel

Detection and Identification of Rare Audio-visual Cues

Verlag

Springer Berlin Heidelberg

Erscheinungsjahr

2013

Sprache

Englisch

ISBN-10

3642269729

ISBN-13

9783642269721

Einband

Taschenbuch

Zustand

Neu

Abmessungen

235B x 155 H x 12 T Millimeter Breite: 235 mm, Höhe: 155 mm, Tiefe: 12 mm

Gewicht

312 Gramm

Über diesen Titel