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Multi-layer Sparse Matrix Factorization

Luc Le Magoarou 1 Rémi Gribonval 1
1 PANAMA - Parcimonie et Nouveaux Algorithmes pour le Signal et la Modélisation Audio
Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
Abstract : —The applicability of many signal processing and data analysis techniques is limited by their prohibitive computational complexity. The cost of such techniques is often dominated by the application of large linear operators. This short paper introduces an algorithm aimed at reducing the complexity of applying such operators by approximately fac-torizing the corresponding matrix into few sparse factors. The proposed approach, which relies on recent advances in non-convex optimization, is first exposed, and then demonstrated experimentally.
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https://hal.inria.fr/hal-01158057
Contributor : Luc Le Magoarou <>
Submitted on : Friday, May 29, 2015 - 1:49:45 PM
Last modification on : Thursday, January 7, 2021 - 4:19:34 PM
Long-term archiving on: : Tuesday, September 15, 2015 - 8:16:53 AM

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  • HAL Id : hal-01158057, version 1

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Luc Le Magoarou, Rémi Gribonval. Multi-layer Sparse Matrix Factorization. SPARS 2015 Signal Processing with Adaptive Sparse Structured Representations, Jul 2015, Cambridge, United Kingdom. ⟨hal-01158057⟩

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