Object class detection in scenes of realistic complexity remains a challenging task in computer vision. Most recent approaches focus on a single and general model for object class...
There is a growing interest in the use of UML class diagrams as a modeling language to represent domain ontologies. In a series of papers (e.g., [1,2]) we have been using the Gener...
This paper describes the design and implementation on MIMD parallel machines of P-AutoClass, a parallel version of the AutoClass system based upon the Bayesian method for determini...
The class imbalance problem (when one of the classes has much less samples than the others) is of great importance in machine learning, because it corresponds to many critical app...
object-oriented abstractions is described that permits direct programming with ASN.1 speci ed types. The design and implementation also supports the exible use of di erent encoding...