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A Bayesian Perspective on Uncertainty Quantification for Estimated Graph Signals

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In
2025 IEEE International Conference on Acoustics, Speech, and Signal Processing : conference proceedings : Hyderabad, India / sponsors and organizer: IEEE, IEEE Signal Processing Society ; K V S Hari, V John Mathews, general chairs, Seiten/Artikel-Nr: 5 Seiten

Konferenz/Event:2025 IEEE International Conference on Acoustics, Speech, and Signal Processing , Hyderabad , India , ICASSP 2025 , 2025-04-06 - 2025-04-11

Impressum[Piscataway, NJ] : IEEE

Umfang5 Seiten

ISBN979-8-3503-6874-1, 979-8-3503-6875-8, 9798350368741, 9798350368758

Online
DOI: 10.1109/ICASSP49660.2025.10889783

URL: https://publications.rwth-aachen.de/record/1010816/files/1010816.pdf

Einrichtungen

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

Projekte

  1. HIGH-HOPeS - Higher-Order Hodge Laplacians for Processing of multi-way Signals (101039827) (101039827)

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Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105009597962
WOS Core Collection: WOS:001611517600559

Interne Identnummern
RWTH-2025-04343
Datensatz-ID: 1010816

Beteiligte Länder
Germany

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Document types > Events > Contributions to a conference proceedings
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Faculty of Computer Science (Fac.9)
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120000
125230
 Record created 2025-05-02, last modified 2026-01-29
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