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07/03/2023
Semi-supervised multi-view concept decomposition
Concept Factorization (CF), as a novel paradigm of representation learni...
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03/01/2023
Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks
Achieving efficient and robust multi-channel data learning is a challeng...
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11/27/2022
Towards Efficient and Accurate Approximation: Tensor Decomposition Based on Randomized Block Krylov Iteration
Efficient and accurate low-rank approximation (LRA) methods are of great...
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10/07/2022
Latent Matrices for Tensor Network Decomposition and to Tensor Completion
The prevalent fully-connected tensor network (FCTN) has achieved excelle...
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04/04/2022
A high-order tensor completion algorithm based on Fully-Connected Tensor Network weighted optimization
Tensor completion aimes at recovering missing data, and it is one of the...
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03/14/2022
Noisy Tensor Completion via Low-rank Tensor Ring
Tensor completion is a fundamental tool for incomplete data analysis, wh...
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02/27/2022
Bayesian Robust Tensor Ring Model for Incomplete Multiway Data
Low-rank tensor completion aims to recover missing entries from the obse...
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01/03/2022
Multi-view Data Classification with a Label-driven Auto-weighted Strategy
Distinguishing the importance of views has proven to be quite helpful fo...
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12/20/2021
Efficient Tensor Robust PCA under Hybrid Model of Tucker and Tensor Train
Tensor robust principal component analysis (TRPCA) is a fundamental mode...
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10/19/2021
Understanding Convolutional Neural Networks from Theoretical Perspective via Volterra Convolution
This study proposes a general and unified perspective of convolutional n...
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09/06/2021
Fast Hypergraph Regularized Nonnegative Tensor Ring Factorization Based on Low-Rank Approximation
For the high dimensional data representation, nonnegative tensor ring (N...
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12/12/2020
Improving EEG Decoding via Clustering-based Multi-task Feature Learning
Accurate electroencephalogram (EEG) pattern decoding for specific mental...
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10/12/2020
Graph Regularized Nonnegative Tensor Ring Decomposition for Multiway Representation Learning
Tensor ring (TR) decomposition is a powerful tool for exploiting the low...
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03/21/2019
Tensor-Ring Nuclear Norm Minimization and Application for Visual Data Completion
Tensor ring (TR) decomposition has been successfully used to obtain the ...
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03/20/2018
Learning the Hierarchical Parts of Objects by Deep Non-Smooth Nonnegative Matrix Factorization
Nonsmooth Nonnegative Matrix Factorization (nsNMF) is capable of produci...
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06/17/2016
Tensor Ring Decomposition
Tensor networks have in recent years emerged as the powerful tools for s...
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10/09/2014
Bayesian Robust Tensor Factorization for Incomplete Multiway Data
We propose a generative model for robust tensor factorization in the pre...
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04/17/2014
Efficient Nonnegative Tucker Decompositions: Algorithms and Uniqueness
Nonnegative Tucker decomposition (NTD) is a powerful tool for the extrac...
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08/26/2013
Frequency Recognition in SSVEP-based BCI using Multiset Canonical Correlation Analysis
Canonical correlation analysis (CCA) has been one of the most popular me...
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12/17/2012