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Semantic segmentation is an important step of visual scene understanding for autonomous driving. Recently, Convolutional Neural Network (CNN) based methods have successfully applied in semantic segmentation using narrow-angle or even wide-angle pinhole camera. However, in urban traffic environments, autonomous vehicles need wider field of view to perceive surrounding things and stuff, especially at...
Social media has been an important way for people to get news. It is designed to make the sharing of messages very fast and easy. It also attracted the attention of a large number of researchers. There has been research concerning predicting what messages will be popular. But it lacks of in-depth study of what features play an important role in the prediction task. In the work, we systematically and...
A system for image semantic information extraction and retrieval based on combination between top-down, target-driven and bottom-up, image-driven visual saliency distinguishing is presented. It simulates the analogous procedures of visual system of primates. It consists of four major components: selective attention, semantics extraction, semantics modeling and image retrieval. The design of selective...
This paper presents a graphical approach to model XML documents based on a Data Type Documentation called Graphical Notations-Data Type Documentation (GN-DTD). GN-DTD allows us to capture syntax and semantic of XML documents in a simple way but precise. Using various notations, the important features of XML documents such as elements, attributes, relationship, hierarchical structure, cardinality,...
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