Abstract: Low-rank tensor completion (LRTC) aims to impute the missing entries from partially observed tensor data, among which low-rankness is of vital importance to get satisfactory results. In this ...
While surface hopping has emerged as a powerful method for simulating non-adiabatic dynamics in large molecules, the ad hoc nature of the necessary velocity adjustments and decoherence corrections in ...
1 Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, KS, USA 2 National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, ...
The study makes a valuable empirical contribution to our understanding of visual processing in primates and deep neural networks, with a specific focus on the concept of factorization. The analyses ...
Abstract: In this letter, a new strategy based on nonnegative matrix factorization (NMF) is proposed for polarimetric ship detection. This method utilizes the sparse feature of nonnegative eigenvalues ...
Hyperspectral unmixing is a powerful tool for the remote sensing image mining. Nonnegative matrix factorization (NMF) has been adopted to deal with this issue, while the precision of unmixing is ...
1 The Post-Doctorate Research Station of Agricultural Resources and Environment, Shandong Agricultural University, Taian, China. 2 College of Information Science and Engineering, Shandong Agricultural ...
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