Vous êtes ici : Accueil » Kiosque » Annonce

Identification

Identifiant: 
Mot de passe : 

Mot de passe oublié ?
Détails d'identification oubliés ?

Annonce

20 février 2018

3rd Graph Signal Processing Workshop (GSP'18)


Catégorie : Conférence internationale


3rd Graph Signal Processing Workshop (GSP'18) - EPFL, Lausanne, Switzerland (https://gsp18.epfl.ch)

Call For Participation : Abstract submission deadline: April 1, 2018 ; Workshop: June 6-8, 2018

 

3rd Graph Signal Processing Workshop (GSP'18)

EPFL, Lausanne, Switzerland (https://gsp18.epfl.ch)

Important dates

Areas of interest

A graph signal is a signal in which relationships between its components follows the structure encoded in a weighted graph. The purpose of graph signal processing is to exploit this underlying structure to analyze and process graph signals. The last few years have seen significant progress in the development of theory, tools, and applications of graph signal processing. The Graph Signal Processing Workshop is a forum intended to disseminate ideas to a broader audience and to exchange ideas and experiences on the future path of this vibrant field.

We are currently accepting abstract submissions in the theory and practice of graph signal processing. Topics of interest include (but are not limited to):

We look forward to welcoming you to Lausanne to participate in this very stimulating workshop.

Submission guideline

We accept submission of 2-page extended abstracts. Accepted contributions will be arranged in the format of oral or poster presentations. The workshop is a venue to share recent research results with no published proceedings. The workshop accepts submission of review papers if they are clearly identified as such.

To submit an abstract for consideration by the technical committee, please follow this link:
https://cmt3.research.microsoft.com/GSP2018

Note that this workshop will be organised back-to-back with the first IEEE Data Science workshop (see http://2018.ieeedatascience.org for more details).

 

Dans cette rubrique

(c) GdR 720 ISIS - CNRS - 2011-2018.