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
Performance Evaluation of Feature Extraction and Dimensiona..:
, In:
2019 IEEE 9th International Conference on Advanced Computing (IACC)
,
Sarowar, Md. Golam
;
Jamal, Arthy Anjum
;
Saha, Anik
. - p. 19-24 , 2019
Link:
https://doi.org/10.1109/IACC48062.2019.8971466
RT T1 <cTitle>2019 IEEE 9th International Conference on Advanced Computing (IACC)</cTitle>: T1 <Title>Performance Evaluation of Feature Extraction and Dimensionality Reduction Techniques on Various machine learning classifiers</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8971466&Exemplar=1&LAN=DE A1 Sarowar, Md. Golam A1 Jamal, Arthy Anjum A1 Saha, Anik A1 Saha, Abir YR 2019 SN 2473-3571 K1 Feature extraction K1 Principal component analysis K1 Convolutional neural networks K1 Correlation coefficient K1 Classification algorithms K1 Training K1 Transforms K1 Principle Component Analysis K1 Feature Extraction K1 Histogram of Oriented Gradients K1 Support Vector Machine K1 Object Classification SP 19 OP 24 LK http://dx.doi.org/https://doi.org/10.1109/IACC48062.2019.8971466 DO https://doi.org/10.1109/IACC48062.2019.8971466 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
