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Graph Multiview Canonical Correlation Analysis
Jia Chen, Gang Wang, Georgios B. Giannakis
Multiview canonical correlation analysis (MCCA) seeks latent low-dimensional representations encountered with multiview data of shared entities (a.k.a. common sources). However, ex…
Real-time Power System State Estimation and Forecasting via Deep Neural Networks
Liang Zhang, Gang Wang, Georgios B. Giannakis
Contemporary power grids are being challenged by rapid voltage fluctuations that are caused by large-scale deployment of renewable generation, electric vehicles, and demand respons…
Modeling Local Dependence in Natural Language with Multi-channel Recurrent Neural Networks
Chang Xu, Weiran Huang, Hongwei Wang +2
Recurrent Neural Networks (RNNs) have been widely used in processing natural language tasks and achieve huge success. Traditional RNNs usually treat each token in a sentence unifor…
Context-Aware Deep Spatio-Temporal Network for Hand Pose Estimation from Depth Images
Yiming Wu, Wei Ji, Xi Li +3
As a fundamental and challenging problem in computer vision, hand pose estimation aims to estimate the hand joint locations from depth images. Typically, the problem is modeled as…
An Extension of Waring's Problem in
An-Ping Li
In this paper, we will investigate the solvability of the equation , , , $\mathcal{A}\subsete…
Nonlinear Dimensionality Reduction for Discriminative Analytics of Multiple Datasets
Jia Chen, Gang Wang, Georgios B. Giannakis
Principal component analysis (PCA) is widely used for feature extraction and dimensionality reduction, with documented merits in diverse tasks involving high-dimensional data. Stan…