I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Unique Face Identification System using Machine Learning:
, In:
2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA)
,
Chawda, Vaishnavi
;
Arya, Vandana
;
Pandey, Shuchi
.. - p. 701-706 , 2020
Link:
https://doi.org/10.1109/ICIRCA48905.2020.9182981
RT T1
2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA)
: T1
Unique Face Identification System using Machine Learning
UL https://suche.suub.uni-bremen.de/peid=ieee-9182981&Exemplar=1&LAN=DE A1 Chawda, Vaishnavi A1 Arya, Vandana A1 Pandey, Shuchi A1 Shristi A1 Valleti, Manohar YR 2020 K1 Face K1 Face recognition K1 Support vector machines K1 Principal component analysis K1 Security K1 Feature extraction K1 Cameras K1 ML K1 Facial recognition K1 Haar cascade K1 PCA K1 SVM K1 Eigen faces SP 701 OP 706 LK http://dx.doi.org/https://doi.org/10.1109/ICIRCA48905.2020.9182981 DO https://doi.org/10.1109/ICIRCA48905.2020.9182981 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)