Motion video analysis using planar parallax
Harpreet S. Sawhney
IS&T/SPIE Electronic Imaging 1994
We present a number of positive and negative results for variants of the matroid secretary problem. Most notably, we design a constant-factor competitive algorithm for the "random assignment" model where the weights are assigned randomly to the elements of a matroid, and then the elements arrive on-line in an adversarial order (extending a result of Soto, SODA 2011, pp. 1275-1284, 2011). This is under the assumption that the matroid is known in advance. If the matroid is unknown in advance, we present an O(logrlogn)-approximation, and prove that a better than O(logn/loglogn) approximation is impossible. This resolves an open question posed by Babaioff et al. (SODA 2007, pp. 434-443, 2007). As a natural special case, we also consider the classical secretary problem where the number of candidates n is unknown in advance. If n is chosen by an adversary from {1,.,N}, we provide a nearly tight answer, by providing an algorithm that chooses the best candidate with probability at least 1/(H N-1+1) and prove that a probability better than 1/H N cannot be achieved (where H N is the N-th harmonic number). © 2013 Springer Science+Business Media New York.
Harpreet S. Sawhney
IS&T/SPIE Electronic Imaging 1994
M.B. Small, R.M. Potemski
Proceedings of SPIE 1989
Laxmi Parida, Pier F. Palamara, et al.
BMC Bioinformatics
John R. Kender, Rick Kjeldsen
IEEE Transactions on Pattern Analysis and Machine Intelligence