Deterministic global optimization with interval analysis involves - using interval enclosures for ranges of the constraints, objective, and gradient to reject infeasible regions, r...
Partially Observable Markov Decision Process (POMDP) is a popular framework for planning under uncertainty in partially observable domains. Yet, the POMDP model is riskneutral in ...
Abstract. Using a scenario of multiple mobile observing platforms (UAVs) measuring weather variables in distributed regions of the Pacific, we are developing algorithms that will ...
Nicholas Roy, Han-Lim Choi, Daniel Gombos, James H...
Abstract. The paper presents new method for sequential classification of the time series observations. Methods and algorithms of sequential recognition are obtained on the basis of...
We present a binocular active vision system that can attend to and xate a moving target. Our system has an open and expandable design and it forms the rst steps of a long term e o...
Jan-Olof Eklundh, Tomas Uhlin, Peter Nordlund, Ats...