1 citations · 2 across the 5 of their papers we have counts for
5 papers
A Hybrid Brain-Computer Interface Using Motor Imagery and SSVEP Based on Convolutional Neural Network
Wenwei Luo, Wanguang Yin, Quanying Liu +1
The key to electroencephalography (EEG)-based brain-computer interface (BCI) lies in neural decoding, and its accuracy can be improved by using hybrid BCI paradigms, that is, fusin…
Partial Least Square Regression via Three-factor SVD-type Manifold Optimization for EEG Decoding
Wanguang Yin, Zhichao Liang, Jianguo Zhang +1
Partial least square regression (PLSR) is a widely-used statistical model to reveal the linear relationships of latent factors that comes from the independent variables and depende…
Riemannian Manifold Optimization for Discriminant Subspace Learning
Wanguang Yin, Zhengming Ma, Quanying Liu
Linear discriminant analysis (LDA) is a widely used algorithm in machine learning to extract a low-dimensional representation of high-dimensional data, it features to find the orth…
HyperNTF: A Hypergraph Regularized Nonnegative Tensor Factorization for Dimensionality Reduction
Wanguang Yin, Youzhi Qu, Zhengming Ma +1
Tensor decomposition is an effective tool for learning multi-way structures and heterogeneous features from high-dimensional data, such as the multi-view images and multichannel el…
Experimental Analysis of Legendre Decomposition in Machine Learning
Jianye Pang, Kai Yi, Wanguang Yin +1
In this technical report, we analyze Legendre decomposition for non-negative tensor in theory and application. In theory, the properties of dual parameters and dually flat manifold…