Results 31 to 40 of about 3,449 (252)
Some Theory on Non-negative Tucker Decomposition [PDF]
, 2017 Some theoretical difficulties that arise from dimensionality reduction for tensors with non-negative coefficients is discussed in this paper. A necessary and sufficient condition is derived for a low non-negative rank tensor to admit a non-negative Tucker decomposition with a core of the same non-negative rank.
Cohen, Jeremy +2 more
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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
doaj +1 more source
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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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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Incremental Hierarchical Tucker Decomposition
CoRRWe present two new algorithms for approximating and updating the hierarchical Tucker decomposition of tensor streams. The first algorithm, Batch Hierarchical Tucker - leaf to root (BHT-l2r), proposes an alternative and more efficient way of approximating a batch of similar tensors in hierarchical Tucker format. The second algorithm, Hierarchical Tucker
Doruk Aksoy, Alex A. Gorodetsky
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Natural Frequencies of Levodopa‐Induced Dyskinesia in Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives Abnormal involuntary movements, known as dyskinesias, are common complications of levodopa treatment in patients with Parkinson's disease and can significantly impair quality of life. The underlying pathophysiology remains unclear, and current therapeutic options are limited.
Ioannis U. Isaias +3 more
wiley +1 more source
Functional Connectome Fingerprinting Through Tucker Tensor Decomposition
Applied SciencesThe human functional connectome (FC) is a representation of the functional couplings between brain regions derived from blood oxygen level-dependent (BOLD) signals.
Vitor Carvalho +4 more
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Advanced Functional Materials, EarlyView.Schematic illustration of the engineered RN@FDT for multimodal tumor therapy. a) Fabrication of FD&DOX/TFA‐loaded RGD‐NNV (RN@FDT) and the light‐triggered disassemble of RN@FDT. b) After internalized by tumor cells, RN@FDT are disintegrated under NIR‐II laser irradiation to boost PTT and induce cell apoptosis.
Jiahui Zhang +16 more
wiley +1 more source