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Weitersagen:


Herausgeber: 
  • John G. Taylor
  • Matei Mancas
  • Vincent P. Ferrera
  • Nicolas Riche
  • From Human Attention to Computational Attention: A Multidisciplinary Approach 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 14-24 Tagen versandfertig
    Veröffentlichung:  Juni 2016  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Artificial Intelligence / B / Biomedical and Life Sciences / Computer Vision / Digital and Analog Signal Processing / HUMAN PHYSIOLOGY / Image processing / Image Processing and Computer Vision / Imaging systems & technology / Neuroscience / Neurosciences / Optical data processing / PHYSIOLOGY / Signal Processing / Signal, Image and Speech Processing / Speech processing systems
    ISBN:  9781493934331 
    EAN-Code: 
    9781493934331 
    Verlag:  Springer New York 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  #10 - Springer Series in Cognitive and Neural Systems  
    Dimensionen:  H 241 mm / B 160 mm / D 31 mm 
    Gewicht:  869 gr 
    Seiten:  472 
    Zus. Info:  HC runder Rücken kaschiert 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This both accessible and exhaustive book will help to improve modeling of attention and to inspire innovations in industry. It introduces the study of attention and focuses on attention modeling, addressing such themes as saliency models, signal detection and different types of signals, as well as real-life applications. The book is truly multi-disciplinary, collating work from psychology, neuroscience, engineering and computer science, amongst other disciplines.

    What is attention? We all pay attention every single moment of our lives. Attention is how the brain selects and prioritizes information. The study of attention has become incredibly complex and divided: this timely volume assists the reader by drawing together work on the computational aspects of attention from across the disciplines. Those working in the field as engineers will benefit from thisbook's introduction to the psychological and biological approaches to attention, and neuroscientists can learn about engineering work on attention. The work features practical reviews and chapters that are quick and easy to read, as well as chapters which present deeper, more complex knowledge. Everyone whose work relates to human perception, to image, audio and video processing will find something of value in this book, from students to researchers and those in industry. 

      
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     From Human Attention to Computational Attention: A - (Buch)
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