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Denoising of Rician corrupted 3D magnetic resonance images using tensor -SVD
Biomedical Signal Processing and Control, 2018Abstract In this paper, we propose a new method for denoising the volumetric magnetic resonance (MR) images degraded with Rician noise. Taking into account the multi-frame (multi-linear) nature, the proposed method formulates an unsophisticated approach by contemplating the MR data as third order tensor.
Hawazin S. Khaleel +3 more
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Sequential Unfolding SVD for Tensors With Applications in Array Signal Processing
IEEE Transactions on Signal Processing, 2009This paper contributes to the field of higher order (N > 2) tensor decompositions in signal processing. A novel PARATREE tensor model is introduced, accompanied with sequential unfolding SVD (SUSVD) algorithm. SUSVD, as the name indicates, applies a matrix singular value decomposition sequentially on the unfolded tensor reshaped from the right hand ...
J. Salmi, A. Richter, V. Koivunen
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Parallel Tensor Train Rounding using Gram SVD
2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2022Hussam Al Daas +2 more
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Tensor lattice field theory for renormalization and quantum computing
Reviews of Modern Physics, 2022Yannick Meurice +2 more
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Spherical inhomogeneous solutions of Einstein and scalar–tensor gravity: A map of the land
Physics Reports, 2021Valerio Faraoni, Andrea Giusti
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Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020Canyi Lu, Jiashi Feng, Yudong Chen
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Incremental SVD-based Tensor-Train Decomposition for Traffic Flow Data
2023 6th International Conference on Artificial Intelligence and Pattern Recognition (AIPR), 2023Jingbo Sun, Shuangyu Liu, Shengsheng He
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Guaranteed Tensor Recovery Fused Low-rankness and Smoothness
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023Hailin Wang, Jiangjun Peng, Wenjin Qin
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Robust Tensor Graph Convolutional Networks via T-SVD based Graph Augmentation
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022Zhebin Wu +5 more
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