Previous work has shown that principal component analysis (PCA) of three-dimensional face models can be used to perform recognition to a high degree of accuracy. However, experimen...
Abstract: As a result of variations in the fabrication process, different memory components are produced with different operational characteristics, a situation that complicates th...
Canonical correlation analysis (CCA) is a powerful tool for analyzing multi-dimensional paired data. However, CCA tends to perform poorly when the number of paired samples is limit...
In many computer games narrative is a core component with the game centering on an unfolding, interactive storyline which both motivates and is driven by the game-play. Analyzing n...
The framework for automatic mediation of two process models composed of semantically annotated web services is presented. Process mediation is hard because of many possible mismat...