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MIR
2005
ACM
129views Multimedia» more  MIR 2005»
15 years 5 months ago
Tracking concept drifting with an online-optimized incremental learning framework
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
Jun Wu, Dayong Ding, Xian-Sheng Hua, Bo Zhang
DMSN
2008
ACM
15 years 1 months ago
A substrate for in-network sensor data integration
With the ultimate goal of extending the data integration paradigm and query processing capabilities to ad hoc wireless networks, sensors, and stream systems, we consider how to su...
Svilen R. Mihaylov, Marie Jacob, Zachary G. Ives, ...
MASS
2010
160views Communications» more  MASS 2010»
14 years 9 months ago
Dynamic operator replacement in sensor networks
We present an integrated approach for supporting in-network sensor data processing in dynamic and heterogeneous sensor networks. The concept relies on data stream processing techni...
Moritz Striibe, Michael Daum, Rüdiger Kapitza...
140
Voted
HPCA
2011
IEEE
14 years 3 months ago
Essential roles of exploiting internal parallelism of flash memory based solid state drives in high-speed data processing
Flash memory based solid state drives (SSDs) have shown a great potential to change storage infrastructure fundamentally through their high performance and low power. Most recent ...
Feng Chen, Rubao Lee, Xiaodong Zhang
95
Voted
IMC
2007
ACM
15 years 1 months ago
On optimal probing for delay and loss measurement
Packet delay and loss are two fundamental measures of performance. Using active probing to measure delay and loss typically involves sending Poisson probes, on the basis of the PA...
François Baccelli, Sridhar Machiraju, Darry...