When dealing with large, distributed systems that use state-of-the-art components, individual components are usually developed in parallel. As development continues, the decouplin...
This paper presents a Local Learning Projection (LLP) approach for linear dimensionality reduction. We first point out that the well known Principal Component Analysis (PCA) essen...
Medical data is unique due to its large volume, heterogeneity and complexity. This necessitates costly active participation of medical domain experts in the task of cleansing medi...
This paper describes a deterministic approach to adaptive state and parameter estimation using a multiple model structure. In the set-up adopted, the plant of interest is described...
Existing research addresses how designers create tools to support improvisation, yet little research explores how improvisation offers tools to support design work. This paper exp...