Mobile based big data design patent image retrieval system via Lp norm deep learning approach

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

2 Scopus Citations
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Detail(s)

Original languageEnglish
Title of host publicationIECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society
PublisherInstitute of Electrical and Electronics Engineers, Inc.
Pages4886-4889
ISBN (print)9781479917624
Publication statusPublished - Nov 2015

Conference

Title41st Annual Conference of the IEEE Industrial Electronics Society, IECON 2015
PlaceJapan
CityYokohama
Period9 - 12 November 2015

Abstract

This paper proposes a mobile based big data design patent image retrieval system via a deep learning approach. The images are represented via sparse vectors by a dictionary. The joint representation and dictionary design problem is formulated as a mixed L2 and Lp optimization problem. An iterative algorithm is employed for finding a locally optimal solution. Experimental results show that the retrieval accuracy is high.

Citation Format(s)

Mobile based big data design patent image retrieval system via Lp norm deep learning approach. / Su, Jing; Ling, Bingo W. K.; Dai, Qingyun et al.
IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society. Institute of Electrical and Electronics Engineers, Inc., 2015. p. 4886-4889 7392866.

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review