Dana H. Ballard
Encyclopedia
Dana Henry Ballard is a professor of computer science currently at the University of Texas at Austin
University of Texas at Austin
The University of Texas at Austin is a state research university located in Austin, Texas, USA, and is the flagship institution of the The University of Texas System. Founded in 1883, its campus is located approximately from the Texas State Capitol in Austin...

 and formerly with the University of Rochester
University of Rochester
The University of Rochester is a private, nonsectarian, research university in Rochester, New York, United States. The university grants undergraduate and graduate degrees, including doctoral and professional degrees. The university has six schools and various interdisciplinary programs.The...

.

Ballard received his Ph.D. from the University of California, Irvine
University of California, Irvine
The University of California, Irvine , founded in 1965, is one of the ten campuses of the University of California, located in Irvine, California, USA...

. He has done research in artificial intelligence
Artificial intelligence
Artificial intelligence is the intelligence of machines and the branch of computer science that aims to create it. AI textbooks define the field as "the study and design of intelligent agents" where an intelligent agent is a system that perceives its environment and takes actions that maximize its...

 and human cognition and perception with a focus on the human visual system. He popularized the use of generalised hough transforms in computer vision in his paper "Generalizing the Hough Transform to Detect Arbitrary Shapes." He is also known as a proponent of active vision
Active vision
An area of computer vision is active vision, sometimes also called active computer vision. An active vision system is one that can manipulate the viewpoint of the camera in order to investigate the environment and get better information from it...

techniques for computer vision systems as well as approaches to understanding human vision. He has written a textbook titled "An Introduction to Natural Computation" (1997). It combines introductory material on varied subjects relevant to computing in the brain, such as neural networks, reinforcement learning, and genetic learning.

Further reading

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