We investigate the problem of learning action effects in partially observable STRIPS planning domains. Our approach is based on a voted kernel perceptron learning model, where act...
We present a novel variational method for the simultaneous estimation of dense scene flow and structure from stereo sequences. In contrast to existing approaches that rely on a ful...
In this paper we present a framework for semantic scene parsing and object recognition based on dense depth maps. Five viewindependent 3D features that vary with object class are e...
Abstract--In this paper, the Multiprocessor Bandwidth Inheritance (M-BWI) protocol is presented, which constitutes an extension of the Bandwidth Inheritance (BWI) protocol to symme...
Dario Faggioli, Giuseppe Lipari, Tommaso Cucinotta
Abstract. Restricting the power of the schedulers that resolve the nondeterminism in probabilistic concurrent systems has recently drawn the attention of the research community. Th...