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Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.06.109
Abstract: Abstract A latent factor analysis (LFA)-based model has outstanding performance in extracting desired patterns from High-dimensional and Sparse (HiDS) data for building a recommender systems. However, they mostly fail in acquiring non-linear features from an…
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Keywords:
dimensional sparse;
high dimensional;
autoencoder;
recommender systems ... See more keywords
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Published in 2019 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2018.1523377
Abstract: ABSTRACT The problem of modeling the relationship between a set of covariates and a multivariate response with correlated components often arises in many areas of research such as genetics, psychometrics, signal processing. In the linear…
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Keywords:
dimensional sparse;
high dimensional;
adaptive svs;
svs method ... See more keywords
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Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3195874
Abstract: In recent years, many achievements have been made in improving the performance of supervised cross-modal hashing. However, it remains an open issue on how to fully explore the data information to achieve fine-grained retrieval performance.…
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Keywords:
high dimensional;
dimensional sparse;
cross modal;
modal ... See more keywords
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Published in 2018 at "Energies"
DOI: 10.3390/en11102855
Abstract: In this paper, we propose a multi-dimensional sparse-coded ambient backscatter communication (MSC-AmBC) system for long-range and high-rate massive Internet of things (IoT) networks. We utilize the characteristics of the ambient sources employing orthogonal frequency division…
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Keywords:
dimensional sparse;
coded ambient;
multi dimensional;
sparse coded ... See more keywords