Artículos relacionados a Deep Learning in Biometrics

Deep Learning in Biometrics - Tapa blanda

 
9781032653105: Deep Learning in Biometrics
Tapa blanda
ISBN 10: 1032653108 ISBN 13: 9781032653105
Editorial: CRC Press, 2023

Sinopsis

Deep Learning is now synonymous with applied machine learning. Many technology giants (e.g. Google, Microsoft, Apple, IBM) as well as start-ups are focusing on deep learning-based techniques for data analytics and artificial intelligence. This technology applies quite strongly to biometrics. This book covers topics in deep learning, namely convolutional neural networks, deep belief network and stacked autoencoders. The focus is also on the application of these techniques to various biometric modalities: face, iris, palmprint, and fingerprints, while examining the future trends in deep learning and biometric research.



  • Contains chapters written by authors who are leading researchers in biometrics.




  • Presents a comprehensive overview on the internal mechanisms of deep learning.




  • Discusses the latest developments in biometric research.




  • Examines future trends in deep learning and biometric research.




  • Provides extensive references at the end of each chapter to enhance further study.


"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Mayank Vatsa is an Associate Professor at IIIT New Delhi. He has authored more than 150 publications dealing with biometrics, image processing, machine learning and information fusion. He is a Senior Member of IEEE.

Richa Singh is an Associate Professor at IIIT New Delhi. She has authored over 100 publications on biometrics, patter recognition and machine learning in referred journals, book chapters and conferences.

Angshul Majumdar is an Assistant Professor at IIIT New Delhi. He is an active research in biomimetics and machine learning.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
CRC Press
Año de publicación
2023
Idioma
Inglés
ISBN 10 
1032653108
ISBN 13 
9781032653105
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
328
Editor
Vatsa Mayank, Singh Richa, Majumdar Angshul
Contacto del fabricante
Taylor and Francis, GPSR Taylor and Francis
gpsr@taylorandfrancis.com

Taylor & Francis Verlag GmbH, Kaufingerstraße 24
München
80331
Alemania