Modeling complex realistic objects is a difficult and time consuming process. Nevertheless, with improvements in rendering speed and quality, more and more applications require s...
It is well-known that the time and memory necessary to create a codebook from large training databases have hindered the vector quantization based systems for real applications. T...
Paulo Sergio Lopes de Souza, Alceu de Souza Britto...
The work described in this paper presents an approach on scheduling in a virtual enterprise in the tourism sector. This scheduling scenario has to reconcile customers' and ser...
In data-integration systems, information sources often have various constraints such as “all houses stored at a source have a unique address.” These constraints are very usefu...
Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...