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Chapter and Conference Paper
Learning a Typhoon Bayesian Network Structure from Natural Language Reports
Given the huge toll caused by natural disasters, it is critically important to develop an effective disaster management and emergency response technique. In this article, we investigate relationships between t...
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Chapter and Conference Paper
Exploiting Spatial Attention and Contextual Information for Document Image Segmentation
We propose a new framework of combining an attention mechanism with a conditional random field to deal with a document image segmentation task. The framework aims to recognize homogeneous regions, e.g. text, f...
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Chapter and Conference Paper
Learning Agents’ Relations in Interactive Multiagent Dynamic Influence Diagrams
Solving interactive multiagent decision making problems is a challenging task since it needs to model how agents interact over time. From individual agents’ perspective, interactive dynamic influence diagrams ...