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July 2001
Michael Mozer has two colleagues,
Richard Zemel
and Toniann Pitassi,
visiting the Department and the Institute for Cognitive Science
during the month of July. Both Zemel and Pitassi are from the
University of Toronto.
- Richard Zemel
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Zemel's primary area of interest in research concerns computational theories of
inference and learning in biological and artificial systems. Motivating
questions include
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How can artificial systems that can analyze complex, cluttered environments
with the apparent ease and accuracy of natural systems be constructed?
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How can novel visual items be processed efficiently, and how do the
representations and processing mechanisms change as items become more familiar?
- Toniann Pitassi
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Pitassi's research interests cover a range of topics in complexity theory,
proof complexity, lower bounds, feasible combinatorics, and probabilistic
reasoning.
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