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ICCV
2007
IEEE
16 years 9 months ago
Supervised Learning of Image Restoration with Convolutional Networks
Convolutional networks have achieved a great deal of success in high-level vision problems such as object recognition. Here we show that they can also be used as a general method ...
Viren Jain, Joseph F. Murray, Fabian Roth, Sriniva...
SENSYS
2006
ACM
16 years 1 months ago
Capturing high-frequency phenomena using a bandwidth-limited sensor network
Small-form-factor, low-power wireless sensors—motes—are convenient to deploy, but lack the bandwidth to capture and transmit raw high-frequency data, such as human voices or n...
Ben Greenstein, Christopher Mar, Alex Pesterev, Sh...
ICC
2011
IEEE
201views Communications» more  ICC 2011»
14 years 6 months ago
Survivable Optical Grid Dimensioning: Anycast Routing with Server and Network Failure Protection
Abstract—Grids can efficiently deal with challenging computational and data processing tasks which cutting edge science is generating today. So-called e-Science grids cope with ...
Chris Develder, Jens Buysse, Ali Shaikh, Brigitte ...
ISCAS
2006
IEEE
160views Hardware» more  ISCAS 2006»
16 years 1 months ago
Address-event image sensor network
We describe a sensor network based on smart requirements of the network. This will provide a new approach imager sensors able to extract events of interest from a scene. for compos...
Eugenio Culurciello, Andreas Savvides
LCTRTS
2004
Springer
16 years 18 days ago
Spinach: a liberty-based simulator for programmable network interface architectures
This paper presents Spinach, a new simulator toolset specifically designed to target programmable network interface architectures. Spinach models both system components that are ...
Paul Willmann, Michael Brogioli, Vijay S. Pai