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primary topic: Second-order optimization based adaptive PARAFAC decomposition of three-way tensors

Second-order optimization based adaptive PARAFAC decomposition of three-way tensors
type: AcademicArticle
type: Article
abstract: A fast adaptive parallel factor (PARAFAC) decomposition algorithm is proposed for a class of third-order tensors that have one dimension growing linearly with time. It is based on an alternating least squares approach in conjunction with a Newton-type optimization technique. By preserving the Khatri-Rao product and exploiting the the reduced-rank update structure of the estimated subspace at each time instant, the algorithm achieves linear complexity and superior convergence performance. A modified version of the algorithm is also proposed to deal with the non-negative constraint. In addition, parallel implementation issues are investigated. Finally, the performance of the algorithm is numerically studied and compared to several state-of-the-art algorithms.
date: 2017-04
volume: 63
is part of: Digital Signal Processing
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ArticleEPrint
is part of: repository
has document: Second-order optimization based adaptive PARAFAC decomposition of three-way tensors (PDF)
subject: Electronics and Communications
subject: ISI-indexed journals

Second-order optimization based adaptive PARAFAC decomposition of three-way tensors (PDF)
type: Document

Elsevier
type: Organization

Digital Signal Processing
type: Collection
issn: 10512004

Linh Trung Nguyen
type: Person
given name: Linh Trung
family name: Nguyen

Viet Dung Nguyen
type: Person
given name: Viet Dung
family name: Nguyen

Karim Abed-Meraim
type: Person
given name: Karim
family name: Abed-Meraim

HTML Summary of #2485 Second-order optimization based adaptive PARAFAC decomposition of three-way tensors
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primary topic: Second-order optimization based adaptive PARAFAC decomposition of three-way tensors

Electronics and Communications
type: Concept

ISI-indexed journals
type: Concept