We propose an original approach for the segmentation of three-dimensional fields of probability density functions. This presents a wide range of applications in medical images proc...
Many unsupervised algorithms for nonlinear dimensionality reduction, such as locally linear embedding (LLE) and Laplacian eigenmaps, are derived from the spectral decompositions o...
This paper introduces a new sensor architecture for making interactive surfaces that are sensitive to human hand and finger gestures. This sensor recognizes multiple hand position...
In this paper we describe an algorithm for the localization of structured models, i.e. sequences of (simple) motifs and distance constraints. It basically combines standard patter...
Alberto Policriti, Nicola Vitacolonna, Michele Mor...
A psychoacoustically constrained and distortion minimized speech enhancement algorithm is considered. In general, noise reduction leads to speech distortion, and thus, the goal of...