Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
This paper introduces a new approach to automatic car detection in monocular large scale aerial images. The extraction is based on a hierarchical 3D-model that describes the promi...
This chapter describes how astronomical imaging survey data have become a vital part of modern astronomy, how these data are archived and then served to the astronomical community...
We demonstrate the H3Viewer graph drawing library, which can be run from a standalone program or in conjunction with other programs such as SGI's Site Manager application. Our...
—The skew-correction of scanned document image is a necessary step undergone before some processing. For the purpose of practical, robust, real-time of the algorithm, this paper ...