Abstract. We propose a brain-computer interface (BCI) system for evolving images in realtime based on subject feedback derived from electroencephalography (EEG). The goal of this s...
This paper addresses the problem of object tracking in image sequences. The approach taken is based upon adaptive statistical models. An object selected in a frame by a user is tr...
—We present a detection scheme for multiple-symbol DPSK for use in a statistically unknown time-varying channel. The scheme relies on a parametric representation of the timevaryi...
In this paper, we present a rewriting framework for modeling molecular complexes, biochemical reaction rules, and generation of biochemical networks based on the representation of...
Decision making models for autonomous agents have received increased attention, particularly in the field of intelligent robots. In this paper we will show how a Defeasible Logic ...