Graph-based multi-view clustering (G-MVC) constructs a graphical representation of each view and then fuses them to unified graph for clustering. Though demonstrating promising performance in various applications, we observe that their formulations are usually non-convex, leading local optimum. In this paper, propose novel MVC algorithm termed robust graph-based (RG-MVC) address issue. particul...

Semantic information from images can be used to improve the performance of deep learning methods in recognizing human emotions. In this paper, we propose a novel framework based on graph convolutional network for emotion recognition by utilizing semantic relationships different regions. First, extract salient image regions within video frame clips using bottom-up attention module construct node...

Tabular data is a crucial form of information expression, which can organize in standard structure for easy retrieval and comparison. However, financial industry many other fields, tables are often disclosed unstructured digital files, e.g. Portable Document Format (PDF) images, difficult to be extracted directly. In this paper, facilitate deep learning based table extraction from we publish Ch...