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Suppressing the spontaneous combustion of lignite is of great significance for safe transportation and efficient utilization of lignite. Taking the Shengli lignite as the research object, two different macerals, inertinite and huminite, were selected by ...
Yanjun WANG +7 more
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Research Progress on Electro-Chemical Oxidation of Low-Rank Coal to Humic Acid
[Introduction] With the vigorous development of renewable energy, clean and efficient utilization of low-rank coal not only improves resource utilization and economic value but also has great social significance.
Ruzhan BAI +6 more
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Several recent empirical studies demonstrate that important machine learning tasks such as training deep neural networks, exhibit a low-rank structure, where most of the variation in the loss function occurs only in a few directions of the input space ...
Romain Cosson +4 more
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Isomap is a well‐known nonlinear dimensionality reduction method that highly suffers from computational complexity. Its computational complexity mainly arises from two stages; a) embedding a full graph on the data in the ambient space, and b) a complete ...
Eysan Mehrbani, Mohammad Hossein Kahaei
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Simultaneous Multislice Brain MRI T1 Mapping with Improved Low-Rank Modeling
To accelerate data acquisition speed in magnetic resonance imaging (MRI), multiple slices are simultaneously acquired using multiband pulses. Simultaneous multislice (SMS) imaging typically unfolds slice aliasing from the acquired collapsed slices.
Sugil Kim, Suhyung Park
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Benzene carboxylic acid (BCAs) are common and useful chemical blocks, which can be derived from the abundant low rank coals (LRCs) via oxidative degradation. In this work, we proposed a novel strategy to utilize BCAs as raw materials to prepare catalysts
Huacong Zhou +8 more
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Single-Image Simultaneous Destriping and Denoising: Double Low-Rank Property
When a remote sensing camera work in push-broom mode, the obtained image usually contains significant stripe noise and random noise due to differences in detector response and environmental factors.
Xiaobin Wu +5 more
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Non-Negative Low Rank Graph Embedding Algorithm
The existing non-negative matrix factorization (NMF) algorithms still have some shortcomings. On one hand, the NMF method calculates its low-dimensional representation directly on the high-dimensional original image data set, but in fact the effective ...
LIU Guoqing, LU Guifu, ZHOU Sheng, XUAN Dongdong, CAO Along
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Randomized Rank-Revealing QLP for Low-Rank Matrix Decomposition
The pivoted QLP decomposition is computed through two consecutive pivoted QR decompositions. It is an approximation to the computationally prohibitive singular value decomposition (SVD). This work is concerned with a partial QLP decomposition of matrices
Maboud F. Kaloorazi +4 more
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Over the past decade, deep learning-based computer vision methods have been shown to surpass previous state-of-the-art computer vision techniques in various fields, and have made great progress in various computer vision problems, including object ...
Sukho Lee +3 more
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