Scheduled Talks: Fall 2004

Following are announcements for talks scheduled for presentation by the Department of Computer Science. To subscribe or unsubscribe from the colloqium mailing list, use this page: For more information, please contact Jillian Kerlin (

Date Speaker/Affiliation Details Host
Friday, September 17, 2004 Yevgeniy Dodis
New York University
Basing Cryptography on Biometrics and Other Noisy Data Victor Shoup
Friday, September 24, 2004 Erich Kaltofen
North Carolina State University
Approximate Factorization of Complex Multivariate Polynomials Victor Shoup
Friday, October 1, 2004 Naren Ramakrishnan
Virginia Tech
Gaussian Processes for Active Data Mining of Spatial Aggregates Bud Mishra
Friday, October 8, 2004 Joshua Goodman
Microsoft Research
Stopping Spam I. Dan Melamed
Friday, October 15, 2004 Yale Patt
The University of Texas at Austin
The Microprocessor of the Year 2014: Do Pentium 4, Pentium M, and Power 5 provide any hints? Allan Gottlieb
Friday, October 22, 2004 Scott Smolka
SUNY Stony Brook
Monte Carlo Model Checking Zvi Kedem
Friday, October 29, 2004 CIMS
A Symposium in honor of Jack Schwartz Ed Schonberg
Friday, November 5, 2004 Cesare Tinelli
The University of Iowa
A Non-clausal Calculus for Satisfiability Modulo Theories Clark Barrett
Friday, November 12, 2004 Henry Fuchs
University of North Carolina at Chapel Hill
Immersive Integration of Physical and Virtual Environments Zvi Kedem
Friday, November 19, 2004 Johannes Gehrke
Cornell University
Privacy Breaches in Privacy-Preserving Data Mining Dennis Shasha
Friday, November 19, 2004 IBM Research/NYU/Columbia Theory Day Theory Day Yevgeniy Dodis &
Tal Malkin
Friday, December 3, 2004 Jack Schwartz
New York University
A Set-Theoretically Oriented Proof Verifier Victor Shoup
Friday, December 10, 2004 Dragomir R. Radev
University of Michigan
Words, Links, and Patterns: Novel Representations for Web-Scale Text Mining I. Dan Melamed
Friday, December 17, 2004 Dimitris Achlioptas
Applications of Random Matrices in Spectral Computations and Machine Learning Joel Spencer

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