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NIPS
2004
13 years 9 months ago
Maximising Sensitivity in a Spiking Network
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Anthony J. Bell, Lucas C. Parra
ICIP
2004
IEEE
14 years 9 months ago
Distributed compression of the plenoptic function
In this paper, we consider the problem of distributed compression in camera sensor networks. Due to the spatial proximity of the different cameras, acquired images can be highly d...
Nicolas Gehrig, Pier Luigi Dragotti
IPPS
2000
IEEE
14 years 8 days ago
Enhancing NWS for Use in an SNMP Managed Internetwork
The Network Weather Service NWS is a distributed resource monitoring and utilization prediction system, employed as an aid to scheduling jobs in a metacomputing environment 9, 1...
Robert E. Busby Jr., Mitchell L. Neilsen, Daniel A...
GLOBECOM
2009
IEEE
13 years 11 months ago
Anomaly-Based Identification of Large-Scale Attacks
Abstract--Large-scale attacks like Distributed Denial-ofService (DDoS) attacks still pose unpredictable threats to the Internet infrastructure and Internet-based business. Thus, ma...
Thomas Gamer
PODS
2005
ACM
211views Database» more  PODS 2005»
14 years 8 months ago
Join-distinct aggregate estimation over update streams
There is growing interest in algorithms for processing and querying continuous data streams (i.e., data that is seen only once in a fixed order) with limited memory resources. Pro...
Sumit Ganguly, Minos N. Garofalakis, Amit Kumar, R...