Functional Data Analysis (FDA) is used for datasets that are more meaningfully represented in the functional form. Functional principal component analysis, for instance, is used to...
The aggregated citation relations among journals included in the Science Citation Index provide us with a huge matrix which can be analyzed in various ways. Using principal compon...
In this paper, we introduce a technique for applying Independent Component Analysis to vector space representations of software code fragments such as methods or blocks. The dista...
The research vision of the Unified Component Meta Model Framework (UniFrame) is to develop an infrastructure for components that enables a plug and play component environment wher...
Carol C. Burt, Barrett R. Bryant, Rajeev R. Raje, ...
—In this paper, a new model that can ultimately create its own set of perceptual features is proposed. Using a bidirectional associative memory (BAM)-inspired architecture, the r...