Results 31 to 40 of about 3,137 (156)
EURASIP Journal on Advances in Signal Processing, 2023 Frequency diverse array multiple-input multiple-output (FDA-MIMO) radar is an emerging technology to offer range-angle-dependent beampattern. Polarimetric FDA-MIMO radar can sense additional polarization information to improve target identification ...
Qi Zhang, Hong Jiang, Yunchang Liu
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Faster Quantum State Decomposition with Tucker Tensor Approximation
Quantum Machine Intelligence, 2022 Abstract Researchers have put a lot of effort into reducing the gap between current quantum processing units (QPU) capabilities and their potential supremacy.One approach is to keep supplementary computations in the CPU, and use QPU only for the core of the problem.
Protasov Stanislav, Lisnichenko Marina
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Nonnegative Tensor Completion via Low-Rank Tucker Decomposition: Model and Algorithm
IEEE Access, 2019 We consider the problem of low-rank tensor decomposition of incomplete tensors that has applications in many data analysis problems, such as recommender systems, signal processing, machine learning, and image inpainting.
Bilian Chen +4 more
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Tensor dictionary learning with sparse TUCKER decomposition
2013 18th International Conference on Digital Signal Processing (DSP), 2013 Dictionary learning algorithms are typically derived for dealing with one or two dimensional signals using vector-matrix operations. Little attention has been paid to the problem of dictionary learning over high dimensional tensor data. We propose a new algorithm for dictionary learning based on tensor factorization using a TUCKER model.
Zubair, S, Wang, W
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Point Cloud Denoising Based on Tensor Tucker Decomposition [PDF]
2019 IEEE International Conference on Image Processing (ICIP), 2019 5 pages, 1 ...
Li, Jianze, Zhang, Xiao-Ping, Tran, Tuan
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Change detection from multitemporal hyperspectral images has attracted great attention. Most traditional methods using spectral information for change detection treat a hyperspectral image as a two-dimensional matrix and do not take into account ...
Zengfu Hou, Wei Li, Ran Tao, Qian Du
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IEEE Access, 2019 In order to deal with the problem of massive historical multi-station SCADA data storage in distribution management system, this paper proposes a data compression method for power distribution system based on tensor Tucker decomposition.
Hongshan Zhao +3 more
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Remote Sensing Imagery Object Detection Model Compression via Tucker Decomposition
Mathematics, 2023 Although convolutional neural networks (CNNs) have made significant progress, their deployment onboard is still challenging because of their complexity and high processing cost.
Lang Huyan +10 more
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Randomized Algorithms for Computation of Tucker Decomposition and Higher Order SVD (HOSVD)
IEEE Access, 2021 Big data analysis has become a crucial part of new emerging technologies such as the internet of things, cyber-physical analysis, deep learning, anomaly detection, etc.
Salman Ahmadi-Asl +6 more
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Scalable Symmetric Tucker Tensor Decomposition
SIAM Journal on Matrix Analysis and ApplicationsWe study the best low-rank Tucker decomposition of symmetric tensors. The motivating application is decomposing higher-order multivariate moments. Moment tensors have special structure and are important to various data science problems. We advocate for projected gradient descent (PGD) method and higher-order eigenvalue decomposition (HOEVD ...
Ruhui Jin +3 more
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