David L. Neuhoff is affiliated with the University of Michigan-Ann Arbor in the United States. Their research primarily focuses on computer science, with specific attention to subfields such as computer vision and pattern recognition, artificial intelligence, management science and operations research, and statistical and nonlinear physics.
The main topics of Neuhoff's work include advanced data compression techniques, algorithms and data compression, advanced image and video retrieval techniques, advanced image processing techniques, generative adversarial networks and image synthesis, image and signal denoising methods, and forecasting techniques and applications.
Neuhoff has authored multiple papers, notable among which are:
Frequent co-authors of Neuhoff include Thrasyvoulos N. Pappas, Shengxin Zha, Kaixuan Zhang, Zhaochen Shi, and Jana Zujovic.
Neuhoff has published predominantly in the following venues:
In 1994, Neuhoff was recognized as an IEEE Fellow for contributions to the theory of universal source coding and asymptotic vector quantization.
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Daniel Marco;Enrique J. Duarte-Melo;Mingyan Liu;David L. Neuhoff
Robert M. Gray;David L. Neuhoff;Paul C. Shields
Jana Zujovic;T. N. Pappas;D. L. Neuhoff
D. Neuhoff;R. Gilbert
David J. Anderson;Donghoon Lee;David L. Neuhoff;Omar A. Nemri
D. Hui;D.L. Neuhoff
S. Na;D.L. Neuhoff
T.N. Pappas;D.L. Neuhoff
D. Neuhoff;R. Gray;L. Davisson
Thrasyvoulos N. Pappas;David L. Neuhoff
D. Neuhoff
T.N. Pappas;D.L. Neuhoff
Thrasyvoulos N. Pappas;Jan P. Allebach;David L. Neuhoff
D. Marco;D.L. Neuhoff
Jordi Ribas-Corbera;David L. Neuhoff
N. Memon;D.L. Neuhoff;S. Shende
Sangsin Na;D.L. Neuhoff
Daniel Marco;David L. Neuhoff
Thrasyvoulos N. Pappas;David L. Neuhoff
T.N. Pappas;N. Seshadri;D.L. Neuhoff
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