Dehua Cheng
About
Dehua Cheng has authored 8 papers that have received a total of 68 indexed citations.
This includes 5 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Mathematics. The topics of these papers are Algorithms and Data Compression (2 papers), Bayesian Methods and Mixture Models (2 papers) and Tensor decomposition and applications (2 papers). Dehua Cheng is often cited by papers focused on Algorithms and Data Compression (2 papers), Bayesian Methods and Mixture Models (2 papers) and Tensor decomposition and applications (2 papers) and collaborates with scholars based in United States and Canada. Dehua Cheng's co-authors include Yan Liu, Robert E. Mercer, Richard Peng, John A. Barron and Hai Li and has published in prestigious journals such as Pattern Recognition and International Journal of Imaging Systems and Technology.
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