— Integrating information coming from different sensors is a fundamental capability for autonomous robots. For complex tasks like topological localization, it would be desirable ...
— We propose a feature selection criterion based on kernel discriminant analysis (KDA) for an -class problem, which finds eigenvectors on which the projected class data are loca...
Abstract— This paper proposes an approach to learn subjectindependent P300 models for EEG-based brain-computer interfaces. The P300 models are first learned using a pool of exis...
— We revisit the problem of synthesis of service composition in the context of service oriented architecture from a tree automata perspective. Comparing to existing finite state...
E-AoSAS++ is an aspect-oriented software architecture style for embedded software. It basically gives the style in which a set of state transition machines organizes a software. W...