A visually secure image encryption method based on semi-tensor product compressed sensing and IWT-HD-SVD embedding [PDF]
Heliyon, 2023 The conventional approach for images encryption entails transforming a regular image into an encrypted image that resembles noise. However, this noise-like encrypted image is susceptible to drawing the attention of an attacker when transmitted through a ...
Shuo Zhang +3 more
semanticscholar +2 more sources
Semi-Tensor-Product Based Convolutional Neural Networks [PDF]
Science China Information SciencesThe semi-tensor product of vectors generalizes the conventional inner product, enabling algebraic operations between vectors of different dimensions. Building upon this foundation, we introduce a domain-based convolutional product and integrate it with ...
Dai-Zhan Cheng, Xiao Zhang
semanticscholar +4 more sources
A Parallel Multi-Modal Factorized Bilinear Pooling Fusion Method Based on the Semi-Tensor Product for Emotion Recognition [PDF]
Entropy (Basel), 2022 Multi-modal fusion can exploit complementary information from various modalities and improve the accuracy of prediction or classification tasks. In this paper, we propose a parallel, multi-modal, factorized, bilinear pooling method based on a semi-tensor
Fen Liu +5 more
semanticscholar +2 more sources
A Dimension-Keeping Semi-Tensor Product Framework for Compressed Sensing [PDF]
Science China Information SciencesIn compressed sensing (CS), sparse signals can be reconstructed from significantly fewer samples than required by the Nyquist-Shannon sampling theorem.
Qi Qi +3 more
semanticscholar +5 more sources
A novel associative memory model based on semi-tensor product (STP) [PDF]
Frontiers in Computational NeuroscienceA good intelligent learning model is the key to complete recognition of scene information and accurate recognition of specific targets in intelligent unmanned system.
Yanfang Hou, Hui Tian, Chengmao Wang
doaj +2 more sources
A semi-tensor product approach for probabilistic boolean networks [PDF]
2014 8th International Conference on Systems Biology (ISB), 2014 Modeling genetic regulatory networks is an important issue in systems biology. Various models and mathematical formalisms have been proposed in the literature to solve the capture problem.
Ching, WK +7 more
core +3 more sources
Cross-dimensional mathematics: A foundation for the semi-tensor product/semi-tensor addition [PDF]
Science China MathematicsA new mathematical structure, called the cross-dimensional mathematics (CDM), is proposed. The CDM considered in this paper consists of three parts: hyper algebra, hyper geometry, and hyper Lie group/Lie algebra. Hyper algebra proposes some new algebraic
Dai-Zhan Cheng
semanticscholar +2 more sources
Solving the Sylvester-Transpose Matrix Equation under the Semi-Tensor Product
Symmetry, 2022 This paper investigates the Sylvester-transpose matrix equation A⋉X+XT⋉B=C, where all mentioned matrices are over an arbitrary field. Here, ⋉ is the semi-tensor product, which is a generalization of the usual matrix product defined for matrices of ...
Janthip Jaiprasert, P. Chansangiam
semanticscholar +2 more sources
A survey on applications of semi-tensor product method in engineering
Science China Information Sciences, 2017 Semi-tensor product (STP) of matrices has attracted more and more attention from both control theory and engineering in the last two decades. This paper presents a comprehensive survey on the applications of STP method in engineering.
Haitao Li +7 more
core +5 more sources
Generalised semi‐tensor product of matrices [PDF]
IET Control Theory & Applications, 2020 By introducing matrix multiplier and vector multiplier two kinds of semi‐tensor products (STPs), called matrix–matrix (MM) STPs and matrix–vector (MV) STPs, are introduced. They are generalisations of conventional matrix product, and contain standard STP as a particular case. Certain properties are revealed.
Cheng, Daizhan +3 more
openaire +2 more sources