Abstract--This paper considers the problem of scalable distributed coding of correlated sources that are communicated to a central unit, a setting typically encountered in sensor n...
High assurance systems used in avionics, medical implants, and cryptographic devices often rely on a small trusted base of hardware and software to manage the rest of the system. ...
Mohit Tiwari, Jason Oberg, Xun Li 0001, Jonathan V...
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
In machine learning and computer vision, input signals are often filtered to increase data discriminability. For example, preprocessing face images with Gabor band-pass filters ...
The deluge of huge data sets such as those provided by
sensor networks, online transactions, and the web provide
exciting opportunities for data analysis. The scale of the
data ...