Thomas S. Huang received his B.S. Degree in Electrical Engineering from National Taiwan University, Taipei, Taiwan, China; and his M.S. and Sc.D. Degrees in Electrical Engineering from the Massachusetts Institute of Technology, Cambridge, Massachusetts. He was on the Faculty of the Department of Electrical Engineering at MIT from 1963 to 1973; and on the Faculty of the School of Electrical Engineering and Director of its Laboratory for Information and Signal Processing at Purdue University from 1973 to 1980. Dr. Huang's professional interests lie in the broad area of information technology, especially the transmission and processing of multidimensional signals. He has published 21 books, and over 600 papers in Network Theory, Digital Filtering, Image Processing, and Computer Vision. Among his many honors and awards: Honda Lifetime Achievement Award, IEEE Jack Kilby Signal Processing Medal, and the King-Sun Fu Prize of the International Association for Pattern Recognition.
3 résultat(s)
Télécharger le livre : Deep Learning through Sparse and Low-Rank Modeling
Yun Fu , Thomas S. Huang , Zhangyang Wang
Deep Learning through Sparse and Low-Rank Modeling
Deep Learning through Sparse Representation and Low-Rank Modeling bridges classical sparse and low rank models—those that emphasize problem-specific Interpretability—with recent deep network models that have enabled a larger learning capacity and better utilization of...
Editeur : Academic Press
Parution : 2019-04-11

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Télécharger le livre : Real-Time Vision for Human-Computer Interaction
Thomas S. Huang , Branislav Kisacanin , Vladimir Pavlovic
Real-Time Vision for Human-Computer Interaction
200Ts Vision of Vision One of my formative childhood experiences was in 1968 stepping into the Uptown Theater on Connecticut Avenue in Washington, DC, one of the few movie theaters nationwide that projected in large-screen cinerama. I was there at the urging of a...
Editeur : Springer
Parution : 2005-12-06

Format(s) : PDF
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Télécharger le livre : Machine Learning in Computer Vision
Ira Cohen , Ashutosh Garg , Thomas S. Huang , Nicu Sebe
Machine Learning in Computer Vision
Editeur : Springer
Parution : 2005-10-04
Collection : Computational Imaging and Vision
Format(s) : PDF
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