Results 131 to 140 of about 3,137 (156)

On Fast algorithms for orthogonal Tucker decomposition

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014
We propose algorithms for Tucker tensor decomposition, which can avoid computing singular value decomposition or eigenvalue decomposition of large matrices as in the work-horse higher order orthogonal iteration (HOOI) algorithm. The novel algorithms require computational cost of O(I 3 R), which is cheaper than O(I 3 R + IR 4 + R 6 ) of HOOI for ...
Anh-Huy Phan, Andrzej Cichocki, Petr Tichavsky   +2 more
openaire   +1 more source

Local Learning Rules for Nonnegative Tucker Decomposition

2009
Analysis of data with high dimensionality in modern applications, such as spectral analysis, neuroscience, chemometrices naturally requires tensorial approaches different from standard matrix factorizations (PCA, ICA, NMF). The Tucker decomposition and its constrained versions with sparsity and/or nonnegativity constraints allow for the extraction of ...
Anh Huy Phan, Andrzej Cichocki
openaire   +1 more source

Sparse Symmetric Format for Tucker Decomposition

IEEE Transactions on Parallel and Distributed Systems, 2023
Shruti Shivakumar, Jiajia Li, Ramakrishnan Kannan, Srinivas Aluru   +3 more
openaire   +1 more source

Hyperspectral Computational Imaging via Collaborative Tucker3 Tensor Decomposition

IEEE Transactions on Circuits and Systems for Video Technology, 2021
Yang Xu, Zebin Wu, Jocelyn Chanussot
exaly  

A Generalized Graph Regularized Non-Negative Tucker Decomposition Framework for Tensor Data Representation

IEEE Transactions on Cybernetics, 2022
Yuning Qiu, Guoxu Zhou, Yu Zhang
exaly  

Compressing Convolutional Neural Networks with Hierarchical Tucker-2 Decomposition

SSRN Electronic Journal, 2022
Mateusz Gabor, Rafał Zdunek
openaire   +1 more source

Consistent MDT-Tucker: A Hankel Structure Constrained Tucker Decomposition in Delay Embedded Space

2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2022
Ryuki Yamamoto, Hidekata Hontani, Akira Imakura, Tatsuya Yokota   +3 more
openaire   +1 more source

Dynamic L1-Norm Tucker Tensor Decomposition

IEEE Journal on Selected Topics in Signal Processing, 2021
Dimitris G Chachlakis, Mayur Dhanaraj, Ashley Prater   +2 more
exaly  

Accelerating the Miller–Tucker–Zemlin model for the asymmetric traveling salesman problem

Expert Systems With Applications, 2020
Maichel M Aguayo
exaly  

Image Representation and Learning With Graph-Laplacian Tucker Tensor Decomposition

IEEE Transactions on Cybernetics, 2019
Bo Jiang, Bin Luo
exaly