This paper develops a classification algorithm in the framework of spectral graph theory where the underlying manifold of a high dimensional data set is described by a graph. The...
This paper proposes an image compression approach, in which we incorporate primal sketch based learning into the mainstream image compression framework. The key idea of our approa...
The aim of the hArtes project is to facilitate and automate the rapid design and development of heterogeneous embedded systems, targeting a combination of a general purpose embedd...
Koen Bertels, Georgi Kuzmanov, Elena Moscu Panaint...
Toward a successful 3D and textural reconstruction of urban scenes, the use of both single-row based telemetric and photographic data in a same framework has proved to be a powerf...
This paper presents the first segmentation operation defined within the 3D topological map framework. Firstly we show how a traditional segmentation algorithm, found in the literat...