Detection and Identification of Rare Audio-visual Cues - Couverture souple

9783642269721: Detection and Identification of Rare Audio-visual Cues

Couverture souple

ISBN 10 : 3642269729 ISBN 13 : 9783642269721

Editeur : Springer, 2013

Afficher les exemplaires de cette �dition comportant l?ISBN

1 D'occasion

De EUR 168,38

10 Neuf

De EUR 92,27

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.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

Pr�sentation de l'�diteur

This volume brings together researchers from different disciplines to discuss new approaches for identifying, and reacting to, unexpected events in information-rich environments.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer
Date d'�dition: 2013
Langue: anglais
ISBN 10: 3642269729
ISBN 13: 9783642269721
Reliure: Broch�
Nombre de pages: 200
�diteur: Weinshall Daphna, Anem�ller J�rn, Van Gool Luc
Coordonn�es du fabricant: non disponible
Personne responsable: CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
Allemagne

Acheter D'occasion

�tat : Comme neuf

Like New

Afficher cet article

EUR 168,38

Autre devise

EUR 28,98 exp�dition depuis Royaume-Uni vers France

Destinations, frais et d�lais

Ajouter au panier

Acheter neuf

Afficher cet article

EUR 92,27

Autre devise

EUR 9,70 exp�dition depuis Allemagne vers France

Destinations, frais et d�lais

Ajouter au panier

Autres �ditions populaires du m�me titre

9783642240331: Detection and Identification of Rare Audiovisual Cues (Studies in Computational Intelligence)

Edition pr�sent�e

ISBN 10 : 364224033X ISBN 13 : 9783642240331
Editeur : Springer-Verlag Berlin and Heide..., 2011
Couverture rigide

Springer, 2012 (Couverture souple)

R�sultats de recherche pour Detection and Identification of Rare Audio-visual Cues

Image fournie par le vendeur

Detection and Identification of Rare Audio-visual Cues

Weinshall, Daphna|Anem�ller, J�rn|Gool, Luc van

Edit� par Springer Berlin Heidelberg, 2013

ISBN 10 : 3642269729 ISBN 13 : 9783642269721

Neuf Couverture souple

impression � la demande

Vendeur : moluna, Greven, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 experts in the fieldMachine . N� de r�f. du vendeur 5055012

Contacter le vendeur

Acheter neuf

EUR 92,27

Autre devise

Frais de port : EUR 9,70

De Allemagne vers France

Destinations, frais et d�lais

Quantit� disponible : Plus de 20 disponibles

Ajouter au panier

Image fournie par le vendeur

Detection and Identification of Rare Audio-visual Cues

Daphna Weinshall

Edit� par Springer Berlin Heidelberg, 2013

ISBN 10 : 3642269729 ISBN 13 : 9783642269721

Neuf Taschenbuch

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. 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. N� de r�f. du vendeur 9783642269721

Contacter le vendeur

Acheter neuf

EUR 106,99

Autre devise

Frais de port : EUR 10,99

De Allemagne vers France

Destinations, frais et d�lais

Quantit� disponible : 1 disponible(s)

Ajouter au panier

Image fournie par le vendeur

Detection and Identification of Rare Audio-visual Cues

Daphna Weinshall

Edit� par Springer Berlin Heidelberg Nov 2013, 2013

ISBN 10 : 3642269729 ISBN 13 : 9783642269721

Neuf Taschenbuch

impression � la demande

Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 200 pp. Englisch. N� de r�f. du vendeur 9783642269721

Contacter le vendeur

Acheter neuf

EUR 106,99

Autre devise

Frais de port : EUR 11

De Allemagne vers France

Destinations, frais et d�lais

Quantit� disponible : 2 disponible(s)

Ajouter au panier

Image d'archives

Detection and Identification of Rare Audio-visual Cues (Studies in Computational Intelligence, 384)

Edit� par Springer, 2013

ISBN 10 : 3642269729 ISBN 13 : 9783642269721

Neuf Couverture souple

Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni

�valuation du vendeur 5 sur 5 �toiles

Etat : New. In. N� de r�f. du vendeur ria9783642269721_new

Contacter le vendeur

Acheter neuf

EUR 116,58

Autre devise

Frais de port : EUR 4,63

De Royaume-Uni vers France

Destinations, frais et d�lais

Quantit� disponible : Plus de 20 disponibles

Ajouter au panier

Image fournie par le vendeur

Detection and Identification of Rare Audio-visual Cues

Daphna Weinshall

Edit� par Springer Berlin Heidelberg, Springer Berlin Heidelberg Nov 2013, 2013

ISBN 10 : 3642269729 ISBN 13 : 9783642269721

Neuf Taschenbuch

impression � la demande

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 200 pp. Englisch. N� de r�f. du vendeur 9783642269721

Contacter le vendeur