Abstract. In this paper, we describe an unsupervised learning framework to segment a scene into semantic regions and to build semantic scene models from longterm observations of mo...
We preliminarily recap what is meant by complexity and non-Turing computation, by way of explanation of our title, ‘Computational Complexity in Non-Turing Models of Computation...
—Communication costs, which have the potential to throttle design performance as scaling continues, are mathematically modeled and compared for various pipeline methodologies. Fi...
Kenneth S. Stevens, Pankaj Golani, Peter A. Beerel
Abstract. Visual attention is the ability of a vision system, be it biological or artificial, to rapidly detect potentially relevant parts of a visual scene. The saliency-based mo...
This paper presents a detailed comparison of the relative importance of allowing concurrent writers versus the choice of the underlying consistency model. Our comparison is based ...