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ICMLA
2010
14 years 9 months ago
Semi-Supervised Anomaly Detection for EEG Waveforms Using Deep Belief Nets
Abstract--Clinical electroencephalography (EEG) is routinely used to monitor brain function in critically ill patients, and specific EEG waveforms are recognized by clinicians as s...
Drausin Wulsin, Justin Blanco, Ram Mani, Brian Lit...
ICDM2
2004
Springer
196views Data Mining» more  ICDM2 2004»
15 years 5 months ago
An Early Warning System for Vehicle Related Quality Data
Vehicle production audit tests, warranty claims and car control unit data are stored in a central data warehouse for data mining analysis. Neural network based part failure rate es...
Matthias Grabert, Markus Prechtel, Tomas Hrycej, W...
APCCM
2006
15 years 1 months ago
Network data mining: methods and techniques for discovering deep linkage between attributes
Network Data Mining identifies emergent networks between myriads of individual data items and utilises special algorithms that aid visualisation of `emergent' patterns and tre...
John Galloway, Simeon J. Simoff
NETWORKING
2004
15 years 1 months ago
On Detection of Anomalous Routing Dynamics in BGP
BGP, the de facto inter-domain routing protocol, is the core component of current Internet infrastructure. BGP traffic deserves thorough exploration, since abnormal BGP routing dy...
Ke Zhang, Amy Yen, Xiaoliang Zhao, Daniel Massey, ...
MVA
1990
170views Computer Vision» more  MVA 1990»
15 years 1 months ago
Automatic Fire Detection by Changing Region Analysis Based on Geographic Information
This paper proposes a new method for automatic fire detection in cities using image processing techniques. Images are obtained successively at regular intervals from monochrome TV...
Hideo Numagami, Akio Okazaki