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MOBIHOC
2010
ACM
14 years 11 months ago
Data preservation under spatial failures in sensor networks
In this paper, we address the problem of preserving generated data in a sensor network in case of node failures. We focus on the type of node failures that have explicit spatial s...
Navid Hamed Azimi, Himanshu Gupta, Xiaoxiao Hou, J...
126
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PR
2007
165views more  PR 2007»
15 years 1 months ago
A trainable feature extractor for handwritten digit recognition
This article focusses on the problems of feature extraction and the recognition of handwritten digits. A trainable feature extractor based on the LeNet5 convolutional neural netwo...
Fabien Lauer, Ching Y. Suen, Gérard Bloch
ISPASS
2006
IEEE
15 years 8 months ago
Modeling TCAM power for next generation network devices
Applications in Computer Networks often require high throughput access to large data structures for lookup and classification. Many advanced algorithms exist to speed these searc...
Banit Agrawal, Timothy Sherwood
SENSYS
2009
ACM
15 years 8 months ago
Optimal clock synchronization in networks
Having access to an accurate time is a vital building block in all networks; in wireless sensor networks even more so, because wireless media access or data fusion may depend on i...
Christoph Lenzen, Philipp Sommer, Roger Wattenhofe...
GECCO
2006
Springer
208views Optimization» more  GECCO 2006»
15 years 5 months ago
Comparing evolutionary and temporal difference methods in a reinforcement learning domain
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
Matthew E. Taylor, Shimon Whiteson, Peter Stone