Distributed dictionary learning over a ...
Type de document :
Communication dans un congrès avec actes
Titre :
Distributed dictionary learning over a sensor network
Auteur(s) :
Chainais, Pierre [Auteur]
Sequential Learning [SEQUEL]
Centrale Lille
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Richard, Cédric [Auteur]
Joseph Louis LAGRANGE [LAGRANGE]
Sequential Learning [SEQUEL]
Centrale Lille
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Richard, Cédric [Auteur]
Joseph Louis LAGRANGE [LAGRANGE]
Titre de la manifestation scientifique :
CaP 2013
Ville :
Villeneuve d'Ascq
Pays :
France
Date de début de la manifestation scientifique :
2013-07-02
Date de publication :
2013-07-02
Mot(s)-clé(s) en anglais :
block coordinate descent
dictionary learning
sparse coding
distributed estimation
diffusion
matrix factorization
adaptive networks
block coordinate descent.
dictionary learning
sparse coding
distributed estimation
diffusion
matrix factorization
adaptive networks
block coordinate descent.
Discipline(s) HAL :
Sciences de l'ingénieur [physics]/Traitement du signal et de l'image [eess.SP]
Informatique [cs]/Traitement du signal et de l'image [eess.SP]
Informatique [cs]/Apprentissage [cs.LG]
Informatique [cs]/Traitement du signal et de l'image [eess.SP]
Informatique [cs]/Apprentissage [cs.LG]
Résumé en anglais : [en]
We consider the problem of distributed dictionary learning, where a set of nodes is required to collec- tively learn a common dictionary from noisy measure- ments. This approach may be useful in several con- texts including ...
Lire la suite >We consider the problem of distributed dictionary learning, where a set of nodes is required to collec- tively learn a common dictionary from noisy measure- ments. This approach may be useful in several con- texts including sensor networks. Diffusion cooperation schemes have been proposed to solve the distributed linear regression problem. In this work we focus on a diffusion-based adaptive dictionary learning strategy: each node records observations and cooperates with its neighbors by sharing its local dictionary. The resulting algorithm corresponds to a distributed block coordi- nate descent (alternate optimization). Beyond dictio- nary learning, this strategy could be adapted to many matrix factorization problems and generalized to var- ious settings. This article presents our approach and illustrates its efficiency on some numerical examples.Lire moins >
Lire la suite >We consider the problem of distributed dictionary learning, where a set of nodes is required to collec- tively learn a common dictionary from noisy measure- ments. This approach may be useful in several con- texts including sensor networks. Diffusion cooperation schemes have been proposed to solve the distributed linear regression problem. In this work we focus on a diffusion-based adaptive dictionary learning strategy: each node records observations and cooperates with its neighbors by sharing its local dictionary. The resulting algorithm corresponds to a distributed block coordi- nate descent (alternate optimization). Beyond dictio- nary learning, this strategy could be adapted to many matrix factorization problems and generalized to var- ious settings. This article presents our approach and illustrates its efficiency on some numerical examples.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Nationale
Vulgarisation :
Non
Commentaire :
6 pages
Collections :
Source :
Fichiers
- https://hal.archives-ouvertes.fr/hal-00923741/document
- Accès libre
- Accéder au document
- https://hal.archives-ouvertes.fr/hal-00923741/document
- Accès libre
- Accéder au document
- https://hal.archives-ouvertes.fr/hal-00923741/document
- Accès libre
- Accéder au document
- https://hal.archives-ouvertes.fr/hal-00923741/document
- Accès libre
- Accéder au document
- document
- Accès libre
- Accéder au document
- distrib_dico_learning_cap2013_final.pdf
- Accès libre
- Accéder au document