This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
In this paper, we present our recent studies of F0 estimation from the surface electromyographic (EMG) data using a Gaussian mixture model (GMM)-based voice conversion (VC) techni...
Keigo Nakamura, Matthias Janke, Michael Wand, Tanj...
Ever-increasing integrated circuit (IC) power densities and peak temperatures threaten reliability, performance, and economical cooling. To address these challenges, thermal analy...
Kernel classifiers based on Support Vector Machines (SVM) have recently achieved state-of-the art results on several popular datasets like Caltech or Pascal. This was possible by...
With the increased use of the web has come a corresponding increase in information overload that users face when trying to locate specific webpages, especially as a majority of vi...