79 citations · 140 across the 4 of their papers we have counts for
4 papers
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…
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…
Canonical Correlation Analysis of Datasets with a Common Source Graph
Jia Chen, Gang Wang, Yanning Shen +1
Canonical correlation analysis (CCA) is a powerful technique for discovering whether or not hidden sources are commonly present in two (or more) datasets. Its well-appreciated meri…
DPCA: Dimensionality Reduction for Discriminative Analytics of Multiple Large-Scale Datasets
Gang Wang, Jia Chen, Georgios B. Giannakis
Principal component analysis (PCA) has well-documented merits for data extraction and dimensionality reduction. PCA deals with a single dataset at a time, and it is challenged when…