Automatic and real-time identification of unusual incidents is important for event detection and alarm systems. In today's camera surveillance solutions video streams are dis...
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
Abstract. This paper is a first step towards a systematic evaluation of the possibilities to use membrane computing as a modeling framework for economics. Membrane computing is a ...
We propose a non-parametric Bayesian model for unsupervised semantic parsing. Following Poon and Domingos (2009), we consider a semantic parsing setting where the goal is to (1) d...
: In this research, a fixed-point multimedia co-processor is designed and tested into an ARM-10 based mobile graphics processor for portable 2-D and 3-D multimedia applications. Th...