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Signal Processing On Cell Complexes

Roddenberry, T. Mitchell ; Schaub, Michael Thomas^RWTH* ; Hajij, Mustafa

In
2022 IEEE International Conference on Acoustics, Speech, and Signal Processing : proceedings : 7-13 May 2022, virtual (all paper presentations) : 22-27 May 2022, main venue: Marina Bay Sands Expo & Convention Center, Singapore, satellite venue: Shenzhen, China / sponsored by: the Institute of Electrical and Electronics Engineers, Signal Processing Society, Seiten/Artikel-Nr: 8852-8856

2022

Konferenz/Event:2022 IEEE International Conference on Acoustics, Speech and Signal Processing , online , ICASSP 2022 , 2022-05-23 - 2022-05-27

ImpressumPiscataway, NJ : IEEE

Umfang8852-8856

ISBN978-1-6654-0540-9, 978-1-6654-0541-6, 978-1-66540-540-9, 978-1-66540-541-6

Konferenzorte: Singapore, Shenzhen

Online
DOI: 10.1109/ICASSP43922.2022.9747233
10.1109/ICASSP43922.2022.9747233

Einrichtungen

1. Juniorprofessur für Computational Network Science (125230)
2. Fachgruppe Informatik (120000)

Projekte

1. SDS005 - Towards an integrated data science of complex natural systems (PF-JARA-SDS005) (PF-JARA-SDS005)
2. PF-JARA-SDS008 - Deep Image Data Analysis for Precision Medical Imaging (EXS-PF-JARA-SDS008) (EXS-PF-JARA-SDS008)
3. ERS Prep Fund - Exploratory Research Space: Prep Fund als Anschubfinanzierung zur Schließung strategischer Lücken (EXS-PF) (EXS-PF)
4. EXS - Excellence Strategy (EXS) (EXS)

Inhaltliche Beschreibung (Schlagwörter)
Algebraic Topology (math.AT) (Genormte SW) ; FOS: Computer and information sciences (Genormte SW) ; FOS: Electrical engineering, electronic engineering, information engineering (Genormte SW) ; FOS: Mathematics (Genormte SW) ; Geometric Topology (math.GT) (Genormte SW) ; Machine Learning (cs.LG) (Genormte SW) ; Signal Processing (eess.SP) (Genormte SW) ; Social and Information Networks (cs.SI) (Genormte SW)

Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85131227113
WOS Core Collection: WOS:000864187909033

Interne Identnummern
RWTH-2022-05196
Datensatz-ID: 847261

Beteiligte Länder
Germany, USA