Motion video analysis using planar parallax
Harpreet S. Sawhney
IS&T/SPIE Electronic Imaging 1994
The existence of sparse pseudorandom distributions is proved. These are probability distributions concentrated in a very small set of strings, yet it is infeasible for any polynomial‐time algorithm to distinguish between truly random coins and coins selected according to these distributions. It is shown that such distributions can be generated by (nonpolynomial) probabilistic algorithms, while probabilistic polynomial‐time algorithms cannot even approximate all the pseudorandom distributions. Moreover, we show the existence of evasive pseudorandom distributions which are not only sparse, but also have the property that no polynomial‐time algorithm may find an element in their support, except for a negligible probability. All these results are proved independently of any intractability assumption. Copyright © 1992 Wiley Periodicals, Inc., A Wiley Company
Harpreet S. Sawhney
IS&T/SPIE Electronic Imaging 1994
Leo Liberti, James Ostrowski
Journal of Global Optimization
Ronen Feldman, Martin Charles Golumbic
Ann. Math. Artif. Intell.
Peter Wendt
Electronic Imaging: Advanced Devices and Systems 1990