This paper presents a method to infer hidden semantic cues by accumulating the knowledge learned from relevance feedback sessions. We propose to explicitly represent a semantic sp...
We consider the problem of characterization of spatial region data such as the regions of interest (ROIs) in medical images. We propose a method that efficiently extracts a k-dime...
The rapid growth of visual data over the last few years has lead to many schemes for retrieving such data. With content-based systems today, there exists a significant gap between...
Abstract-- In recent years, uncertain data management applications have grown in importance because of the large number of hardware applications which measure data approximately. F...
Computational simulation of time-varying physical processes is of fundamental importance for many scientific and engineering applications. Most frequently, time-varying simulation...