We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Three techniques: Principal Component Analy...
Over time, many people accumulate extensive email repositories that contain detailed information about their personal communication patterns and relationships. We present three vi...
Abstract. To find hidden features of co-authoring relationships, we focused on drawing techniques for bipartite graphs. We previously developed a drawing method called "anchor...
Abstract. Neurovascular compression syndromes are caused by a pathological contact between cranial nerves and vascular structures at the surface of the brainstem. Aiming at improve...
Aim of this work is to apply a novel comprehensive machine learning tool for data mining to preprocessing and interpretation of gene expression data. Furthermore, some visualizatio...
Roberto Amato, Angelo Ciaramella, N. Deniskina, Ca...