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Article
Compressed sensing using generative models based on fisher information
In compressed sensing applications, self-learning generative models have attracted increasing attention because they provide guarantees that are similar to those of standard compressed sensing without employin...
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Article
Information geometry enhanced fuzzy deep belief networks for sentiment classification
With the development of internet, more and more people share reviews. Efficient sentiment analysis over such reviews using deep learning techniques has become an emerging research topic, which has attracted mo...
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Article
Neural Networks for Compressed Sensing Based on Information Geometry
Neural networks that are embedded with prior knowledge of the distribution of the original signal in applications of compressed sensing have attracted increasing attention. However, the maximal probability of ...
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Chapter and Conference Paper
Real-Time Multi-camera Video Stitching Based on Improved Optimal Stitch Line and Multi-resolution Fusion
In this paper, we propose a multi-camera video stitching method based on an improved optimal stitch line and multi-resolution for real-time application. First, phase correlation is used to estimate overlap**...
