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Keyword: Sparsity

VLSI Architecture for OMP to Reconstruct Compressive Sensing Image

by Santosh Bujari and Saroja V Siddamal

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 5, Page # 1050–1055, 2020; DOI: 10.25046/aj0505129

Abstract:

A real-time embedded system requires plenty of measurements to fallow the Nyquist criteria. The hardware built for such a large number of measurements, is facing the challenges like storage and transmission rate. Practically it is very much complex to build such costly hardware. Compressive Sensing (CS) will be a future alternate technique for the Nyquist…

Efficient Tensor Strategy for Recommendation

by Aboagye Emelia Opoku, Gao Jianbin, Qi Xia, Nartey Obed Tetteh and Opoku Mensah Eugene

Advances in Science, Technology and Engineering Systems Journal, Volume 2, Issue 4, Page # 111–114, 2017; DOI: 10.25046/aj020415

Abstract:

The era of big data has witnessed the explosion of tensor datasets, and large scale Probabilistic Tensor Factorization (PTF) analysis is important to accommodate such increasing trend of data. Sparsity, and Cold-Start are some of the inherent problems of recommender systems in the era of big data. This paper proposes a novel Sentiment-Based Probabilistic Tensor…

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(This article belongs to Section Information Systems in Computer Science (CIS))