About
Yeming Meng is affiliated with the School of Electronic Engineering and Computer Science at Queen Mary University of London. His teaching portfolio includes undergraduate courses in Artificial Intelligence and postgraduate/undergraduate modules on Machine Learning for Visual Data Analysis, covering topics like Discrete Fourier Transforms, Gabor filters, and unsupervised classification.
His research focuses on Artificial Intelligence, Machine Learning, Computer Vision, and Image Processing, with applications in visual data analysis techniques including texture segmentation and feature space clustering.
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