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, ...
Low-dimensional representations of sensory signals are key to solving many of the computational problems encountered in high-level vision. Principal Component Analysis (PCA) has b...
For Model Driven Development approaches to succeed, there is a need for model validation techniques. This paper presents an approach to testing designs described by UML class diag...
Trung T. Dinh-Trong, Nilesh Kawane, Sudipto Ghosh,...
Context-aware computing in location-aware environments demands the combination of real world position with a computational world model to infer context. We present a novel approach...
Recently, almost uncontrolled technological progress allows so called high-throughput data collection for sophisticated and complex experimental biological systems analysis. Espec...