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» Evaluating algorithms that learn from data streams
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PDPTA
2004
15 years 8 months ago
Efficient Disk Replacement and Data Migration Algorithms for Large Disk Subsystems
Random data placement has recently emerged as an alternative to traditional data striping. From a performance perspective, it has been demonstrated to be an efficient and scalable...
Roger Zimmermann, Beomjoo Seo
IWAN
2001
Springer
15 years 11 months ago
Deploying an Active Voice Application on a Three-Level Active Network Node Architecture
Active networks have been recently highlighted as a key enabling technology to obtain immense flexibility in terms of network deployment, configurability, and customized packet pro...
Georg Carle, Henning Sanneck, Sebastian Zander, Lo...
DAC
2011
ACM
14 years 6 months ago
AENEID: a generic lithography-friendly detailed router based on post-RET data learning and hotspot detection
In the era of deep sub-wavelength lithography for nanometer VLSI designs, manufacturability and yield issues are critical and need to be addressed during the key physical design i...
Duo Ding, Jhih-Rong Gao, Kun Yuan, David Z. Pan
CCS
2009
ACM
16 years 1 months ago
Active learning for network intrusion detection
Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...
Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf...
ROBOCUP
2004
Springer
138views Robotics» more  ROBOCUP 2004»
15 years 12 months ago
An Algorithm That Recognizes and Reproduces Distinct Types of Humanoid Motion Based on Periodically-Constrained Nonlinear PCA
Abstract. This paper proposes a new algorithm for the automatic segmentation of motion data from a humanoid soccer playing robot that allows feedforward neural networks to generali...
Rawichote Chalodhorn, Karl F. MacDorman, Minoru As...