From Human Attention to Computational Attention: A Multidisciplinary Approach - Couverture rigide

9783031842993: From Human Attention to Computational Attention: A Multidisciplinary Approach

Couverture rigide

ISBN 10 : 3031842995 ISBN 13 : 9783031842993

Editeur : Springer International Publishing AG, 2025

Afficher les exemplaires de cette �dition comportant l?ISBN

The new edition of this popular book introduces the study of attention, focusing on attention modeling, and addressing such themes as saliency models, signal detection, and different types of signals, including real-life applications. The first edition was written at a moment when the Deep Learning Neural Network (DNNs) techniques were just at their beginnings in terms of attention. Deep learning has recently become a key factor in attention prediction on images and video, and attention mechanisms have become key factors in deep learning models. The second edition tackles the arrival of DNNs for attention computing in images and video, and also discusses the attention mechanisms within DNNs (attention modules, transformers, grad-cam-based saliency maps, etc.). From Human Attention to Computational Attention 2nd Edition also explores the parallels between the brain structures and the DNN architectures to reveal how biomimetics can improve the model designs. The book is truly multi-disciplinary, collating work from psychology, neuroscience, engineering, and computer science.

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

� propos de l?auteur

Matei Mancas, PhD, is Senior Researcher, Numediart Institute for Creative Technologies, University of Mons, Mons, Belgium.

Vincent P. Ferrara, PhD, is Professor, Department of Neuroscience, Zuckerman Institute, Columbia University, New York, New York

Antoine Coutrot, PhD, is Tenured Researcher, Centre National de la Recherche Scientifique, Laboratoire d'InfoRmatique en Image et Syst�mes d'information, Lyon, France.

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

�diteur: Springer International Publishing AG
Date d'�dition: 2025
Langue: anglais
ISBN 10: 3031842995
ISBN 13: 9783031842993
Reliure: Reli�
Num�ro d'�dition: 2
Nombre de pages: 347
�diteur: Mancas Matei, Ferrera Vincent P., Coutrot Antoine
Coordonn�es du fabricant: ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Allemagne

R�sultats de recherche pour From Human Attention to Computational Attention: A...

Image d'archives

From Human Attention to Computational Attention (eng)

Mancas, Matei

Edit� par Springer, 2025

ISBN 10 : 3031842995 ISBN 13 : 9783031842993

Neuf Couverture rigide

impression � la demande

Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie

�valuation du vendeur 4 sur 5 �toiles

Etat : new. Questo � un articolo print on demand. N� de r�f. du vendeur JYS6DE5PQL

Contacter le vendeur

Acheter neuf

EUR 166,29

Exp�dition �EUR 5,50
Exp�dition depuis Italie vers Etats-Unis

Quantit� disponible : Plus de 20 disponibles

Ajouter au panier

Image fournie par le vendeur

From Human Attention to Computational Attention

Matei Mancas

Edit� par Springer, Berlin, Springer Nature Switzerland, Springer, 2025

ISBN 10 : 3031842995 ISBN 13 : 9783031842993

Neuf Couverture rigide

impression � la demande

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

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The new edition of this popular book introduces the study of attention, focusing on attention modeling, and addressing such themes as saliency models, signal detection, and different types of signals, including real-life applications. The first edition was written at a moment when the Deep Learning Neural Network (DNNs) techniques were just at their beginnings in terms of attention. Deep learning has recently become a key factor in attention prediction on images and video, and attention mechanisms have become key factors in deep learning models. The second edition tackles the arrival of DNNs for attention computing in images and video, and also discusses the attention mechanisms within DNNs (attention modules, transformers, grad-cam-based saliency maps, etc.).From Human Attention to Computational Attention 2nd Edition also explores the parallels between the brain structures and the DNN architectures to reveal how biomimetics can improve the model designs. The bookis truly multi-disciplinary, collating work from psychology, neuroscience, engineering, and computer science. 339 pp. Englisch. N� de r�f. du vendeur 9783031842993

Contacter le vendeur

Acheter neuf

EUR 213,99

Exp�dition �EUR 23
Exp�dition depuis Allemagne vers Etats-Unis

Quantit� disponible : 2 disponible(s)

Ajouter au panier

Image fournie par le vendeur

From Human Attention to Computational Attention

Matei Mancas

Edit� par Springer, Springer Jul 2025, 2025

ISBN 10 : 3031842995 ISBN 13 : 9783031842993

Neuf Couverture rigide

impression � la demande

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The new edition of this popular book introduces the study of attention, focusing on attention modeling, and addressing such themes as saliency models, signal detection, and different types of signals, including real-life applications. The first edition was written at a moment when the Deep Learning Neural Network (DNNs) techniques were just at their beginnings in terms of attention. Deep learning has recently become a key factor in attention prediction on images and video, and attention mechanisms have become key factors in deep learning models. The second edition tackles the arrival of DNNs for attention computing in images and video, and also discusses the attention mechanisms within DNNs (attention modules, transformers, grad-cam-based saliency maps, etc.). From Human Attention to Computational Attention 2nd Edition also explores the parallels between the brain structures and the DNN architectures to reveal how biomimetics can improve the model designs. The book is truly multi-disciplinary, collating work from psychology, neuroscience, engineering, and computer science.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 348 pp. Englisch. N� de r�f. du vendeur 9783031842993

Contacter le vendeur

Acheter neuf

EUR 213,99

Exp�dition �EUR 60
Exp�dition depuis Allemagne vers Etats-Unis

Quantit� disponible : 1 disponible(s)

Ajouter au panier

Image fournie par le vendeur

From Human Attention to Computational Attention : A Multidisciplinary Approach

Matei Mancas

Edit� par Springer, Springer Nature Switzerland, 2025

ISBN 10 : 3031842995 ISBN 13 : 9783031842993

Neuf Couverture rigide

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The new edition of this popular book introduces the study of attention, focusing on attention modeling, and addressing such themes as saliency models, signal detection, and different types of signals, including real-life applications. The first edition was written at a moment when the Deep Learning Neural Network (DNNs) techniques were just at their beginnings in terms of attention. Deep learning has recently become a key factor in attention prediction on images and video, and attention mechanisms have become key factors in deep learning models. The second edition tackles the arrival of DNNs for attention computing in images and video, and also discusses the attention mechanisms within DNNs (attention modules, transformers, grad-cam-based saliency maps, etc.).From Human Attention to Computational Attention 2nd Edition also explores the parallels between the brain structures and the DNN architectures to reveal how biomimetics can improve the model designs. The bookis truly multi-disciplinary, collating work from psychology, neuroscience, engineering, and computer science. N� de r�f. du vendeur 9783031842993

Contacter le vendeur

Acheter neuf

EUR 213,99

Exp�dition �EUR 63,43
Exp�dition depuis Allemagne vers Etats-Unis

Quantit� disponible : 1 disponible(s)

Ajouter au panier

Image d'archives

From Human Attention to Computational Attention: A Multidisciplinary Approach

Edit� par Springer, 2025

ISBN 10 : 3031842995 ISBN 13 : 9783031842993

Neuf Couverture rigide

Vendeur : Books Puddle, New York, NY, Etats-Unis

�valuation du vendeur 4 sur 5 �toiles

Etat : New. N� de r�f. du vendeur 26403641159

Contacter le vendeur

Acheter neuf

EUR 274,57

Exp�dition �EUR 3,39
Exp�dition nationale�: Etats-Unis

Quantit� disponible : 4 disponible(s)

Ajouter au panier

Image d'archives

From Human Attention to Computational Attention (Hardcover)

Matei Mancas

Edit� par Springer International Publishing AG, Cham, 2025

ISBN 10 : 3031842995 ISBN 13 : 9783031842993

Neuf Couverture rigide

impression � la demande

Vendeur : CitiRetail, Stevenage, Royaume-Uni

�valuation du vendeur 5 sur 5 �toiles

Hardcover. Etat : new. Hardcover. The new edition of this popular book introduces the study of attention, focusing on attention modeling, and addressing such themes as saliency models, signal detection, and different types of signals, including real-life applications. The first edition was written at a moment when the Deep Learning Neural Network (DNNs) techniques were just at their beginnings in terms of attention. Deep learning has recently become a key factor in attention prediction on images and video, and attention mechanisms have become key factors in deep learning models. The second edition tackles the arrival of DNNs for attention computing in images and video, and also discusses the attention mechanisms within DNNs (attention modules, transformers, grad-cam-based saliency maps, etc.). From Human Attention to Computational Attention 2nd Edition also explores the parallels between the brain structures and the DNN architectures to reveal how biomimetics can improve the model designs. The book is truly multi-disciplinary, collating work from psychology, neuroscience, engineering, and computer science. The new edition of this popular book introduces the study of attention, focusing on attention modeling, and addressing such themes as saliency models, signal detection, and different types of signals, including real-life applications. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N� de r�f. du vendeur 9783031842993

Contacter le vendeur