Randomly connected recurrent neural circuits have proven to be very powerful models for online computations when a trained memoryless readout function is appended. Such Reservoir ...
Benjamin Schrauwen, Lars Buesing, Robert A. Legens...
The memory hierarchy of a system can consume up to 50% of microprocessor system power. Previous work has shown that tuning a configurable cache to a particular application can red...
Surveillance is one of the promising applications to which smart camera motes forming a vision-enabled network can add increasing levels of intelligence. We see a high degree of i...
Stephan Hengstler, Daniel Prashanth, Sufen Fong, H...
Analysis of network and application pegormance is traditionally based on mathematical models derived from first principles. Such models are usually complex, diflcult to use, and d...
— Aggressive physical carrier sensing (PCS), which improves the spatial reuse efficiency by shrinking the PCS range, is a promising technique to scale high density Wireless Loca...