Compressive Classification for Face Recognition: A New Approach - Couverture souple

Majumdar, Angshul

 
9783639195385: Compressive Classification for Face Recognition: A New Approach
Couverture souple
ISBN 10 : 3639195388 ISBN 13 : 9783639195385
Editeur : VDM Verlag, 2009

Synopsis

The problem of face recognition has been studied widely in the past two decades. Even though considerable progress has been made, e.g. in achieving better recognition rates, handling difficult environmental conditions etc., there has not been any widespread implementation of this technology. Most probably, the reason lies in not giving adequate consideration to practical problems such as communication costs and computational overhead. The book addresses the practical face recognition problem ¿ e.g. a scenario that may arise in client recognition in Automated Teller Machines or employee authentication in large offices. Such scenarios can not be handled by traditional machine learning methods. This book will develop novel methods to solve this problem from a completely new perspective. It proposes employing random projections for dimensionality reduction. Such dimensionality reduction demands new classification methods which is the main interest of this book.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

The problem of face recognition has been studied widely in the past two decades. Even though considerable progress has been made, e.g. in achieving better recognition rates, handling difficult environmental conditions etc., there has not been any widespread implementation of this technology. Most probably, the reason lies in not giving adequate consideration to practical problems such as communication costs and computational overhead. The book addresses the practical face recognition problem ¿ e.g. a scenario that may arise in client recognition in Automated Teller Machines or employee authentication in large offices. Such scenarios can not be handled by traditional machine learning methods. This book will develop novel methods to solve this problem from a completely new perspective. It proposes employing random projections for dimensionality reduction. Such dimensionality reduction demands new classification methods which is the main interest of this book.

Biographie de l'auteur

Angshul completed his Masters in Applied Science in Electrical and Computer Engineering from the University of British Columbia, Canada in 2009. He specialized in Signal Processing and Pattern Recognition. Angshul did his Bachelors in Electronics and Telecommunication Engineering from Bengal Engineering and Science University, India.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
VDM Verlag
Date d'édition
2009
Langue
anglais
ISBN 10 
3639195388
ISBN 13 
9783639195385
Reliure
Broché
Nombre de pages
132
Coordonnées du fabricant
non disponible
Personne responsable
non disponible