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GECCO
2008
Springer
261views Optimization» more  GECCO 2008»
13 years 9 months ago
SSNNS -: a suite of tools to explore spiking neural networks
We are interested in engineering smart machines that enable backtracking of emergent behaviors. Our SSNNS simulator consists of hand-picked tools to explore spiking neural network...
Heike Sichtig, J. David Schaffer, Craig B. Laramee
DATE
2009
IEEE
131views Hardware» more  DATE 2009»
14 years 2 months ago
Communication minimization for in-network processing in body sensor networks: A buffer assignment technique
—Body sensor networks are emerging as a promising platform for healthcare monitoring. These systems are composed of battery-operated embedded devices which process physiological ...
Hassan Ghasemzadeh, Nisha Jain, Marco Sgroi, Roozb...
TWC
2008
142views more  TWC 2008»
13 years 8 months ago
Cooperative Diversity in Interference Limited Wireless Networks
Using relays in wireless networks can potentially lead to significant capacity increases. However, within an asynchronous multi-user communication setting, relaying might cause mor...
Sam Vakil, Ben Liang
IPPS
2009
IEEE
14 years 2 months ago
Unit disk graph and physical interference model: Putting pieces together
Modeling communications in wireless networks is a challenging task since it asks for a simple mathematical object on which efficient algorithms can be designed, but that must also...
Emmanuelle Lebhar, Zvi Lotker
KDD
2012
ACM
247views Data Mining» more  KDD 2012»
11 years 10 months ago
Integrating meta-path selection with user-guided object clustering in heterogeneous information networks
Real-world, multiple-typed objects are often interconnected, forming heterogeneous information networks. A major challenge for link-based clustering in such networks is its potent...
Yizhou Sun, Brandon Norick, Jiawei Han, Xifeng Yan...