Results 51 to 60 of about 3,363 (257)

A tensor compression algorithm using Tucker decomposition and dictionary dimensionality reduction

International Journal of Distributed Sensor Networks, 2020
Tensor compression algorithms play an important role in the processing of multidimensional signals. In previous work, tensor data structures are usually destroyed by vectorization operations, resulting in information loss and new noise. To this end, this
Chenquan Gan, Junwei Mao, Zufan Zhang, Qingyi Zhu   +3 more
doaj   +1 more source

Point Cloud Denoising Based on Tensor Tucker Decomposition [PDF]

2019 IEEE International Conference on Image Processing (ICIP), 2019
5 pages, 1 ...
Jianze Li, Xiao-Ping (Steven) Zhang, Tuan Tran   +2 more
openaire   +2 more sources

Flexible Chemiresistive Chitosan‐Glycerol Sensors on Laser‐Induced Graphene Electrodes for Room‐Temperature Ammonia Detection

Advanced Materials Technologies, EarlyView.
Flexible Chitosan‐glycerol sensor integrated with porous laser‐induced graphene (LIG) electrodes enable room‐temperature chemiresistive detection of ammonia (NH3) and proof‐of‐concept detection of fish spoilage. ABSTRACT We report a metal‐free sensor platform combining laser induced graphene (LIG) electrodes with drop‐deposited, glycerol‐plasticized ...
Mintesinot Tamiru Mengistu, Richard Murray, Cara‐Lena Nies, Cathal Larrigy, Martina Piletti, Jahidul Islam, Daniela Iacopino, Eileen Hurley, Michael Nolan, Aidan J. Quinn   +9 more
wiley   +1 more source

Hypergraph regularized nonnegative triple decomposition for multiway data analysis

Scientific Reports
Tucker decomposition is widely used for image representation, data reconstruction, and machine learning tasks, but the calculation cost for updating the Tucker core is high.
Qingshui Liao, Qilong Liu, Fatimah Abdul Razak   +2 more
doaj   +1 more source

Hyperspectral Image Superresolution Using Unidirectional Total Variation With Tucker Decomposition

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
The hyperspectral image superresolution (HSI-SR) problem aims to improve the spatial quality of a low spatial resolution HSI by fusing the LR-HSI with the corresponding high spatial resolution multispectral image.
Ting Xu, Ting-Zhu Huang, Liang-Jian Deng, Xi-Le Zhao, Jie Huang   +4 more
doaj   +1 more source

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.
Syed Zubair, Wenwu Wang 0001
openaire   +2 more sources

Compliant Pneumatic Feet with Real‐Time Stiffness Adaptation for Humanoid Locomotion

Advanced Robotics Research, EarlyView.
A compliant pneumatic foot with real‐time variable stiffness enables humanoid robots to adapt to changing terrains. Using onboard vision and pressure control, the foot modulates stiffness within each gait cycle, reducing impact forces and improving balance. The design, cast in soft silicone with embedded air chambers and Kevlar wrapping, offers durable,
Irene Frizza, Hiroshi Kaminaga, Philippe Fraisse, Gentiane Venture   +3 more
wiley   +1 more source

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
openaire   +1 more source

Targeting Lactate and Lactylation in Cancer Metabolism and Immunotherapy

Advanced Science, EarlyView.
Lactate, once deemed a metabolic waste, emerges as a central regulator of cancer progression. This review elucidates how lactate and its epigenetic derivative, protein lactylation, orchestrate tumor metabolism, immune suppression, and therapeutic resistance.
Jiajing Gong, Yuhang Xie, Zhijie Weng, Yongzhi Wu, Longjiang Li, Bo Li   +5 more
wiley   +1 more source

Tucker Decomposition-Based Network Compression for Anomaly Detection With Large-Scale Hyperspectral Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Deep learning methodologies have demonstrated considerable effectiveness in hyperspectral anomaly detection (HAD). However, the practicality of deep learning-based HAD in real-world applications is impeded by challenges arising from limited labeled data,
Yulei Wang, Hongzhou Wang, Enyu Zhao, Meiping Song, Chunhui Zhao   +4 more
doaj   +1 more source