Cognitive and Neural Modelling for Visual Information Representation and Memorization

Author:   Limiao Deng
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032251196


Pages:   249
Publication Date:   27 May 2024
Format:   Paperback
Availability:   In Print   Availability explained
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Cognitive and Neural Modelling for Visual Information Representation and Memorization


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Overview

Focusing on how visual information is represented, stored and extracted in the human brain, this book uses cognitive neural modeling in order to show how visual information is represented and memorized in the brain. Breaking through traditional visual information processing methods, the author combines our understanding of perception and memory from the human brain with computer vision technology, and provides a new approach for image recognition and classification. While biological visual cognition models and human brain memory models are established, applications such as pest recognition and carrot detection are also involved in this book. Given the range of topics covered, this book is a valuable resource for students, researchers and practitioners interested in the rapidly evolving field of neurocomputing, computer vision and machine learning.

Full Product Details

Author:   Limiao Deng
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.453kg
ISBN:  

9781032251196


ISBN 10:   1032251190
Pages:   249
Publication Date:   27 May 2024
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Limiao Deng is currently working as an associate professor in Qingdao Agriculture University, China. She received the Ph.D. degree in Control Theory and Control Engineering from China University of Petroleum in 2018. Her areas of research include computer vision, machine learning and pattern recognition. She is also a regular reviewer of journals of repute namely IEEE, Springer, Elsevier, etc.

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