In this paper, we present an alternate approach to estimate the parameters of a Markov random field (MRF) model for images using the concepts of homotopy continuation method. We a...
Action mode interfaces, in which the user achieves his goals by manipulating representations, suffer from some fundamental disadvantages. In this paper, we present a working proto...
Wim Claassen, Edwin Bos, Carla Huls, Koenraad De S...
In this paper we propose a method for continuous learning of simple visual concepts. The method continuously associates words describing observed scenes with automatically extracte...
This paper presents a novel framework for simultaneously learning representation and control in continuous Markov decision processes. Our approach builds on the framework of proto...
The Department of Computer Science at California State University, Los Angeles has established an assessment process to guide the continuous improvement of the undergraduate curri...
Russ Abbott, Vladimir Akis, Valentino Crespi, Huip...