In this paper, we propose a transductive learning method for content-based image retrieval: Multiple Random Walk (MRW). Its basic idea is to construct two generative models by mea...
Petroleum industry production systems are highly automatized. In this industry, all functions (e.g., planning, scheduling and maintenance) are automated and in order to remain comp...
Abstract. The ostensive model assumes that a user’s information need is dynamic and developing, thus, a recently accessed object can be seen as more indicative to the current inf...
This paper presents Timed Petri Nets (TPN) as an analytical approach for verification of computerized queueing network simulation models at steady state. It introduces a generic a...
This paper presents a Bayesian Network model for ContentBased Image Retrieval (CBIR). In the explanation and test of this work, only two images features (semantic evidences) are i...
Paulo S. Rodrigues, Gilson A. Giraldi, Ade A. Arau...