This paper develops a supervised dimensionality reduction method, Lorentzian Discriminant Projection (LDP), for discriminant analysis and classification. Our method represents the...
—This paper proposes a set of methods for building informative and robust feature point representations, used for accurately labeling points in a 3D point cloud, based on the typ...
Radu Bogdan Rusu, Zoltan Csaba Marton, Nico Blodow...
We attempt to quantify the possible gains that can be achieved by examining a rate-distortion competition between a conventional and a compressive sampling solution to data rate r...
This paper presents a technique to remove image artefacts, formed under the cyclic additive group Zp, during the inverse Radon reconstruction from primedimensioned discrete projec...
The class imbalance is a critical problem in classification tasks related to many real world applications. A large number of solutions were proposed in literature, both at the al...
Maria Teresa Ricamato, Claudio Marrocco, Francesco...