Background modelling on tensor field has recently been proposed for foreground detection tasks. Taking into account the Riemannian structure of the tensor manifold, recent resear...
Rui Caseiro, João F. Henriques, Pedro Martins, Jo...
(204 words) We have developed a novel method to derive scale information from quasi-stationary images, which relies on a rotation-guided multi-scale analysis of features derived fr...
The Neural Gas (NG) is a Vector Quantization technique where a set of prototypes self organize to represent the topology structure of the data. The learning algorithm of the Neural...
It is widely accepted that complexity of biological systems arises from combinations of common subunits. In this work we investigate the combinatorial patterns of protein domains ...
We develop a supervised dimensionality reduction method, called Lorentzian Discriminant Projection (LDP), for feature extraction and classification. Our method represents the str...