Most security models explicitly (or implicitly) include the tranquillity principle which prohibits changing the security level of a given piece of information. Yet in practical sy...
We consider the problem of multiple kernel learning (MKL), which can be formulated as a convex-concave problem. In the past, two efficient methods, i.e., Semi-Infinite Linear Prog...
The Partially Observable Markov Decision Process (POMDP) model is explored for high level decision making for Unmanned Air Vehicles (UAVs). The type of UAV modeled is a flying mun...
—In this paper we describe a practical methodology to formally verify highly optimized, industrial multipliers. We a multiplier description language which abstracts from low-leve...
Udo Krautz, Markus Wedler, Wolfgang Kunz, Kai Webe...
We develop a fast method to localize the level set method of Osher and Sethian (1988, Journal of Computational Physics) and address two important issues that are intrinsic to the l...
Danping Peng, Barry Merriman, Stanley Osher, Hongk...