In this paper, we present a robust feature extraction framework based on informationtheoretic learning. Its formulated objective aims at simultaneously maximizing the Renyi's...
In this paper, we adress the question of decoding cognitive information from functional Magnetic Resonance (MR) images using classification techniques. The main bottleneck for acc...
Registration of facial features is a significant step towards a complete solution of the face recognition problem. We have built a general framework for detecting a set of indivi...
The AS-level Internet topology has shown significant clustering features. In this paper, we propose a new set of clustering metrics and conduct extensive measurement on the AS-le...
Yan Li, Jun-Hong Cui, Dario Maggiorini, Michalis F...
In this paper, we propose a new paradigm to reconstruct 3D volume from histology slices guided by NURBS spline-based feature curves. Histology slices are first scanned into compu...