In this paper, a Bayesian LBP operator is proposed. This operator is formulated in a novel Filtering, Labeling and Statistic (FLS) framework for texture descriptors. In the framew...
Abstract. Current paper proposes an efficient alternative for traditional gatelevel fault simulation. The authors explain how Structurally Synthesized Binary Decision Diagrams (SSB...
Jaan Raik, Raimund Ubar, Sergei Devadze, Artur Jut...
Most financial time series processes are nonstationary and their frequency characteristics are time-dependant. In this paper we present a time series summarization and prediction ...
This paper presents a new prediction model for predicting when an online customer leaves a current page and which next Web page the customer will visit. The model can forecast the ...
Many applications refer to moving objects or phenomena and require spatio-temporal modelling and specific analysis. Unlike conventional data where attributes are simple values (nu...