Suchergebnisse - "autoen-coder"

Multimodal Biometric Authentication System Using of Autoencoders and Siamese Networks for Enhanced Security

Autoren: Gueuret, Théo Kerkeni, Leila

Quelle: Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 23, Iss 1 (2024)

Schlagwörter: TK7885-7895, Computer engineering. Computer hardware, Deep Learning, Autoen-coder, Voice Recognition, Siamese Neural Network, User Authentication, Electronic computers. Computer science, QA75.5-76.95, Fusion, 16. Peace & justice, Face Recognition, Multimodal Biometrics

Dateibeschreibung: application/pdf

Zugangs-URL: https://doaj.org/article/e5dbf8c445984576af3f04796781532d
https://ddd.uab.cat/record/291506

A multimodal biometric authentication system using of autoencoders and Siamese networks for enhanced security

Autoren: Gueuret, Théo Kerkeni, Leila

Schlagwörter: User Authentication, Multimodal Biometrics, Deep Learning, Siamese Neural Network, Autoen-coder, Face Recognition, Voice Recognition, Fusion

Dateibeschreibung: application/pdf

Relation: ELCVIA. Electronic letters on computer vision and image analysis; Vol. 23 Núm. 1 (2024), p. 1-14; https://ddd.uab.cat/record/291506; urn:10.5565/rev/elcvia.1811; urn:oai:ddd.uab.cat:291506; urn:oai:elcvia.revistes.uab.cat:article/1811; urn:oai:raco.cat:article/980000001023

Verfügbarkeit: https://ddd.uab.cat/record/291506

Objective Image Quality Analysis of Convolutional Neural Network Light Field Coding

Autoren: Medda D. Song W. Perra C.

Quelle: 2019 8th European Workshop on Visual Information Processing (EUVIP). :163-168

Schlagwörter: autoen-coder, coding, compression, convolutional neural network, image quality, light field, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://dblp.uni-trier.de/db/conf/euvip/euvip2019.html#Medda0P19
https://hdl.handle.net/11584/284536
https://doi.org/10.1109/EUVIP47703.2019.8946230
https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8596718

An Effective Deep Learning Based Scheme for Network Intrusion Detection

Autoren: Zhang, Hongpo Wu, Chase Q. Gao, Shan et al.

Quelle: Faculty Publications

Schlagwörter: deep learning, denoising autoen-coder, feature selection, Intrusion detection system

Relation: https://digitalcommons.njit.edu/fac_pubs/8248

Verfügbarkeit: https://digitalcommons.njit.edu/fac_pubs/8248
https://doi.org/10.1109/ICPR.2018.8546162

Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis

Autoren: Zreik, Majd Hampe, Nils Leiner, Tim et al.

Quelle: Medical Imaging 2021: Image Processing. :47

Schlagwörter: FOS: Computer and information sciences, Autoen-coder, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, Deep learning, Electrical Engineering and Systems Science - Image and Video Processing, Coronary arteries, 03 medical and health sciences, 0302 clinical medicine, Machine learning, FOS: Electrical engineering, electronic engineering, information engineering, Virtual FFR, Cardiac CT angiography

Zugangs-URL: http://arxiv.org/pdf/1911.04940
http://arxiv.org/abs/1911.04940
https://research.utwente.nl/en/publications/479eece5-a0f6-4603-8182-b2594e1d1d67
https://doi.org/10.1117/12.2580847
https://www.narcis.nl/publication/RecordID/oai%3Apure.amc.nl%3Apublications%2F643dfdd1-803f-4adc-a2f5-ff7985806357
https://research.utwente.nl/en/publications/combined-analysis-of-coronary-arteries-and-the-left-ventricular-m
https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11596/115961F/Combined-analysis-of-coronary-arteries-and-the-left-ventricular-myocardium/10.1117/12.2580847.full
http://ui.adsabs.harvard.edu/abs/2021SPIE11596E..1FZ/abstract
https://arxiv.org/pdf/1911.04940.pdf
https://researchinformation.amsterdamumc.org/en/publications/combined-analysis-of-coronary-arteries-and-the-left-ventricular-m
https://pure.amsterdamumc.nl/en/publications/ba1f8015-88fc-4696-bdcb-4181a41fdc73
https://doi.org/10.1117/12.2580847

A Learning Approach to Cooperative Communication System Design

Autoren: Lu, Yuxin Cheng, Peng Chen, Zhuo et al.

Schlagwörter: Autoen-coder, Neural network, Relay network

Relation: https://doi.org/10.1109/ICASSP40776.2020.9054093; http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000615970405100

Verfügbarkeit: http://repository.hkust.edu.hk/ir/Record/1783.1-102604
https://doi.org/10.1109/ICASSP40776.2020.9054093
http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=&rft.volume=&rft.issue=&rft.date=2020&rft.spage=&rft.aulast=Lu&rft.aufirst=Yuxin&rft.atitle=A+Learning+Approach+to+Cooperative+Communication+System+Design&rft.title=
http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000615970405100
http://www.scopus.com/record/display.url?eid=2-s2.0-85089244306&origin=inward