In this paper, we introduce a novel bayesian compressive sensing (CS) technique for phonetic classification. CS is often used to characterize a signal from a few support training...
Tara N. Sainath, Avishy Carmi, Dimitri Kanevsky, B...
The literature on compressed sensing has focused almost entirely on settings where the signal is noiseless and the measurements are contaminated by noise. In practice, however, th...
Semi-fragile watermarking can be used to detect illegal and local manipulation of images, while being robust towards legal manipulations such as lossy compression. This paper desc...
Jean-Philippe Boyer, Pierre Duhamel, Jacques Blanc...
Compared to a geometric approach, image based rendering applied to 3D view reconstruction doesn't require 3D model construction and doesn't depend on the complexity of t...
We explore the capability of the Self Organizing Map for structured data (SOM-SD) to compress continuous time data recorded from a kinematic tree, which can represent a robot or an...