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NN
2002
Springer
208views Neural Networks» more  NN 2002»
13 years 7 months ago
A spiking neuron model: applications and learning
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...
Chris Christodoulou, Guido Bugmann, Trevor G. Clar...
WACV
2008
IEEE
14 years 2 months ago
Distributed Visual Processing for a Home Visual Sensor Network
deliver objects, handle emergency, wherever he/she is inside the home. In addition, the burden of processing We address issues dealing with distributed visual power can be distribu...
Kwangsu Kim, Gérard G. Medioni
MICRO
2008
IEEE
118views Hardware» more  MICRO 2008»
14 years 2 months ago
Notary: Hardware techniques to enhance signatures
Hardware signatures have been recently proposed as an efficient mechanism to detect conflicts amongst concurrently running transactions in transactional memory systems (e.g., Bulk...
Luke Yen, Stark C. Draper, Mark D. Hill
MICRO
2007
IEEE
137views Hardware» more  MICRO 2007»
14 years 1 months ago
Implementing Signatures for Transactional Memory
Transactional Memory (TM) systems must track the read and write sets—items read and written during a transaction—to detect conflicts among concurrent transactions. Several TM...
Daniel Sanchez, Luke Yen, Mark D. Hill, Karthikeya...
NDSS
2006
IEEE
14 years 1 months ago
Protocol-Independent Adaptive Replay of Application Dialog
For many applications—including recognizing malware variants, determining the range of system versions vulnerable to a given attack, testing defense mechanisms, and filtering m...
Weidong Cui, Vern Paxson, Nicholas Weaver, Randy H...