Since Electroencephalogram (EEG) is resistant to camouflage and contains abundant
neurophysiological information, it shows significant superiorities in objective emotion …

The Kmeans clustering and spectral clustering are two popular clustering methods for
grouping similar data points together according to their similarities. However, the …

Many feature extraction methods based on subspace learning have been proposed and
applied with good performance. Most existing methods fail to achieve a balance between …

Low-rank representation (LRR) is an effective method to learn the subspace structure
embedded in the data. However, most LRR methods make use of different features equally …

This paper presents an innovative latent temporal smoothness-induced Schatten-p norm
factorization (SpFLTS) method aimed at addressing challenges in sequential subspace …

Due to the large-scale and multiscale natures of social media data, sparse representation
(SR) learning methods are widely followed. However, there are three problems associated …