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TSP
2010
13 years 3 months ago
On scalable distributed coding of correlated sources
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...
Ankur Saxena, Kenneth Rose
ISCA
2011
IEEE
269views Hardware» more  ISCA 2011»
13 years 17 days ago
Crafting a usable microkernel, processor, and I/O system with strict and provable information flow security
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...
JMLR
2012
11 years 11 months ago
Metric and Kernel Learning Using a Linear Transformation
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...
CVPR
2012
IEEE
11 years 11 months ago
Discriminately decreasing discriminability with learned image filters
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 ...
Jacob Whitehill, Javier R. Movellan
EUROSYS
2010
ACM
14 years 3 months ago
PUSH: A Dataflow Shell
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 ...
Noah Evans, Eric Van Hensbergen