Kniha Compressive Classification for Face Recognition Angshul Majumdar

Compressive Classification for Face Recognition

A New Approach

Jazyk: Angličtina
Väzba: Brožovaná
Dostupnosť: U vydavateľa na objednávku
Odosielame za 17-27 dní
58.12
The problem of face recognition has been studied widely in the past two decades. Even though conside...

Informácie o knihe

Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2009
Stránok
132
EAN
9783639195385
Enbook ID
06827615
Hmotnosť
213
Rozmery
150 x 220 x 8

Kompletný popis

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.

Mohlo by vás zaujímať

Complicity

Iain Banks
11.46

Animal intelligence

Edward L. Thorndike
16.36
16.56
7.83
113.30

Come Sit Next to Me

Robert O'Quinn
30.28

Tupelo

David Baker
22.34
10.97

Guten Appetit!

Ute Buehler
24.30
23.12
8.91

Up and Down

Oliver Jeffers
13.52

Jasper Jones

Craig Silvey
9.40
61.45
64.68

Zákazníci, ktorí si kúpili túto knihu, kúpili tiež

23.12

Изучаем Power Query

Линда Фоукс
85.46
12.19
127.71
7.83

Mittheilungen aus dem Gebiete der Statistik.

Austria. Statistische Zentralkommission
31.75

Bioetica y Pediatria

Jose Rafael Escalona Aguilera
68.21