We present an adaptive system for training and teaching. Our system integrates an adaptive training environment and a cooperative environment for exams both accessible via Interne...
Maria Barra, A. Lannaccone, Giuseppina Palmieri, V...
Recently, a novel Log-Euclidean Riemannian metric [28] is proposed for statistics on symmetric positive definite (SPD) matrices. Under this metric, distances and Riemannian means ...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, ...
We present a novel technique for applying two-level runtime models to distributed systems. Our approach uses graph rewriting rules to transform a high-level source model into one o...
Christopher Wolfe, T. C. Nicholas Graham, W. Greg ...
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
The need for sharing is well known in a large number of distributed collaborative applications. These applications are difficult to develop for wide area (possibly mobile) networ...