Presentation
12 April 2021 Graphical model and diffusion equation based manifold learning for sensor data processing
Author Affiliations +
Abstract
Graphical model, diffusion equation network dynamics, and manifold learning are different subareas in machine learning and network science. In this paper, combining the ideas from these subareas, we propose and implement graphical model and diffusion equation based manifold learning techniques for sensor data processing. We show that the graphical model and diffusion equation combined manifold learning can be used to perform data processing for one, two, and three-dimensional sensors. Experiments show that this manifold learning approach can solve many sensor data processing problems including radio frequency signal processing, image processing (computer vision), and three-dimensional lighting detection and ranging (LIDAR) processing problems better than some traditional methods.
Conference Presentation
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Bingcheng C. Li "Graphical model and diffusion equation based manifold learning for sensor data processing", Proc. SPIE 11746, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III, 117460C (12 April 2021); https://doi.org/10.1117/12.2586087
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KEYWORDS
Diffusion

Data modeling

Sensors

Data processing

Computer vision technology

Image processing

Machine vision

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