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Research on a Joint Extraction Method of Track Circuit Entities and Relations Integrating Global Pointer and Tensor Learning. [PDF]
Chen Y, Chen G, Li P.
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Warming induces unexpectedly high soil respiration in a wet tropical forest. [PDF]
Wood TE +7 more
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TENSOR QUANTILE REGRESSION WITH LOW-RANK TENSOR TRAIN ESTIMATION. [PDF]
Liu Z, Lee CY, Zhang H.
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Democratic Alarmism: Coherent Notion or Contradiction in Terms?
Constellations, EarlyView.
James S. Pearson
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On the Ambiguities of Laclauian Populist Leadership
Constellations, EarlyView.
Riku Kusumoto
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Hybrid Parallel Tucker Decomposition of Streaming Data
Proceedings of the Platform for Advanced Scientific Computing ConferenceTensor decompositions have emerged as powerful tools of multivariate data analysis, providing the foundation of numerous analysis methods. The Tucker decomposition in particular has been shown to be quite effective at compressing high-dimensional ...
Saibal De +4 more
semanticscholar +2 more sources
Accurate regularized Tucker decomposition for image restoration
Applied Mathematical Modelling, 2023W. Gong, Zhejun Huang, Lili Yang
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Tucker decomposition and applications
Materials Today: Proceedings, 2021Abstract Non-negative Tucker decomposition is a well-known higher order tensor decomposition method, where non-negativity is imposed on higher order Tucker decomposition. This paper is associated to the reality behind higher order Tucker decomposition which is computed with the help of HOSVD and its extension HOOI.
Vineet Bhatt, Sunil Kumar, Seema Saini
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Infrared Small Target Detection via Nonconvex Tensor Tucker Decomposition With Factor Prior
IEEE Transactions on Geoscience and Remote Sensing, 2023Infrared small target detection in complex scenes is an important but challenging research hotspot in infrared early warning fields. Previous studies have proved that low-rank Tucker decomposition (TD) achieves good detection performance in complex ...
Ting-Yuan Liu +4 more
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