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ICCV
2007
IEEE
16 years 8 months ago
Learning Higher-order Transition Models in Medium-scale Camera Networks
We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...
Ryan Farrell, David S. Doermann, Larry S. Davis
ICA
2004
Springer
16 years 7 days ago
Postnonlinear Overcomplete Blind Source Separation Using Sparse Sources
Abstract. We present an approach for blindly decomposing an observed random vector x into f(As) where f is a diagonal function i.e. f = f1 × . . . × fm with one-dimensional funct...
Fabian J. Theis, Shun-ichi Amari
NIPS
1998
15 years 8 months ago
Finite-Sample Convergence Rates for Q-Learning and Indirect Algorithms
In this paper, we address two issues of long-standing interest in the reinforcement learning literature. First, what kinds of performance guarantees can be made for Q-learning aft...
Michael J. Kearns, Satinder P. Singh
IFIP
2009
Springer
16 years 1 months ago
A Policy Model for Secure Information Flow
When a computer program requires legitimate access to confidential data, the question arises whether such a program may illegally reveal sensitive information. This paper proposes...
Adedayo Adetoye, Atta Badii
IPPS
1998
IEEE
15 years 11 months ago
Predicate Control for Active Debugging of Distributed Programs
Existing approaches to debugging distributed systems involve a cycle of passive observation followed by computation replaying. We propose predicate control as an active approach t...
Ashis Tarafdar, Vijay K. Garg