語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Adaptive biometric systemsrecent adv...
~
Granger, Eric.
Adaptive biometric systemsrecent advances and challenges /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Adaptive biometric systemsedited by Ajita Rattani, Fabio Roli, Eric Granger.
其他題名:
recent advances and challenges /
其他作者:
Rattani, Ajita.
出版者:
Cham :Springer International Publishing :2015.
面頁冊數:
x, 134 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
Biometric identification.
電子資源:
http://dx.doi.org/10.1007/978-3-319-24865-3
ISBN:
9783319248653$q(electronic bk.)
Adaptive biometric systemsrecent advances and challenges /
Adaptive biometric systems
recent advances and challenges /[electronic resource] :edited by Ajita Rattani, Fabio Roli, Eric Granger. - Cham :Springer International Publishing :2015. - x, 134 p. :ill., digital ;24 cm. - Advances in computer vision and pattern recognition,2191-6586. - Advances in computer vision and pattern recognition..
This timely and interdisciplinary volume presents a detailed overview of the latest advances and challenges remaining in the field of adaptive biometric systems. A broad range of techniques are provided from an international selection of pre-eminent authorities, collected together under a unified taxonomy and designed to be applicable to any pattern recognition system. Topics and features: Presents a thorough introduction to the concept of adaptive biometric systems, detailing their taxonomy, levels of adaptation, and open issues and challenges Reviews systems for adaptive face recognition that perform self-updating of facial models using operational (unlabeled) data Describes a novel semi-supervised training strategy known as fusion-based co-training Examines the characterization and recognition of human gestures in videos Discusses a selection of learning techniques that can be applied to build an adaptive biometric system Investigates procedures for handling temporal variance in facial biometrics due to aging Proposes a score-level fusion scheme for an adaptive multimodal biometric system This comprehensive text/reference will be of great interest to researchers and practitioners engaged in systems science, information security or biometrics. Postgraduate and final-year undergraduate students of computer engineering will also appreciate the coverage of intelligent and adaptive schemes for cutting-edge pattern recognition and signal processing in changing environments.
ISBN: 9783319248653$q(electronic bk.)
Standard No.: 10.1007/978-3-319-24865-3doiSubjects--Topical Terms:
256971
Biometric identification.
LC Class. No.: TK7882.B56
Dewey Class. No.: 006.4
Adaptive biometric systemsrecent advances and challenges /
LDR
:02554nmm a2200325 a 4500
001
476535
003
DE-He213
005
20160426172451.0
006
m d
007
cr nn 008maaau
008
160526s2015 gw s 0 eng d
020
$a
9783319248653$q(electronic bk.)
020
$a
9783319248639$q(paper)
024
7
$a
10.1007/978-3-319-24865-3
$2
doi
035
$a
978-3-319-24865-3
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
TK7882.B56
072
7
$a
UYQP
$2
bicssc
072
7
$a
UYQV
$2
bicssc
072
7
$a
COM016000
$2
bisacsh
082
0 4
$a
006.4
$2
23
090
$a
TK7882.B56
$b
A221 2015
245
0 0
$a
Adaptive biometric systems
$h
[electronic resource] :
$b
recent advances and challenges /
$c
edited by Ajita Rattani, Fabio Roli, Eric Granger.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2015.
300
$a
x, 134 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Advances in computer vision and pattern recognition,
$x
2191-6586
520
$a
This timely and interdisciplinary volume presents a detailed overview of the latest advances and challenges remaining in the field of adaptive biometric systems. A broad range of techniques are provided from an international selection of pre-eminent authorities, collected together under a unified taxonomy and designed to be applicable to any pattern recognition system. Topics and features: Presents a thorough introduction to the concept of adaptive biometric systems, detailing their taxonomy, levels of adaptation, and open issues and challenges Reviews systems for adaptive face recognition that perform self-updating of facial models using operational (unlabeled) data Describes a novel semi-supervised training strategy known as fusion-based co-training Examines the characterization and recognition of human gestures in videos Discusses a selection of learning techniques that can be applied to build an adaptive biometric system Investigates procedures for handling temporal variance in facial biometrics due to aging Proposes a score-level fusion scheme for an adaptive multimodal biometric system This comprehensive text/reference will be of great interest to researchers and practitioners engaged in systems science, information security or biometrics. Postgraduate and final-year undergraduate students of computer engineering will also appreciate the coverage of intelligent and adaptive schemes for cutting-edge pattern recognition and signal processing in changing environments.
650
0
$a
Biometric identification.
$3
256971
650
0
$a
Identification
$x
Automation.
$3
699990
650
0
$a
Computer networks
$x
Access control.
$3
213837
650
1 4
$a
Computer Science.
$3
212513
650
2 4
$a
Biometrics.
$3
274525
650
2 4
$a
Pattern Recognition.
$3
273706
650
2 4
$a
Signal, Image and Speech Processing.
$3
273768
650
2 4
$a
Artificial Intelligence (incl. Robotics)
$3
252959
700
1
$a
Rattani, Ajita.
$3
731208
700
1
$a
Roli, Fabio.
$3
285097
700
1
$a
Granger, Eric.
$3
731209
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
830
0
$a
Advances in computer vision and pattern recognition.
$3
559645
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-24865-3
950
$a
Computer Science (Springer-11645)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000119754
電子館藏
1圖書
電子書
EB TK7882.B56 A221 2015
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
http://dx.doi.org/10.1007/978-3-319-24865-3
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入