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Qianqian Tong, Guannan Liang, Jiahao Ding, Tan Zhu, Miao Pan and Jinbo Bi
Regularized sparse learning with the l0
l
0
-norm is important in many areas, including statistical learning and signal processing. Iterative hard thresholding (IHT) methods are the state-of-the-art for nonconvex-constrained sparse learning due to their ...
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José Antonio Núñez-Mora and Eduardo Sánchez-Ruenes
Oil, also called black gold, is considered as the commodity which has the greatest impact on the world?s economy, and it has been studied in terms of its relationship and effects on macroeconomic variables such as Gross Domestic Product (GDP), inflation,...
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Word embeddings have been very successful in many natural language processing tasks, but they characterize the meaning of a word/concept by uninterpretable “context signatures”. Such a representation can render results obtained using embeddin...
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Yuebo Zha, Yin Zhang, Yulin Huang and Jianyu Yang
In real aperture imaging, the limited azimuth angular resolution seriously restricts the applications of this imaging system. This report presents a maximum a posteriori (MAP) approach based on the Bayesian framework for high angular resolution of real a...
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A. Demlow, D. Leykekhman, A. H. Schatz and L. B. Wahlbin.
Pág. 743 - 764
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