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» Detecting Novel Scans Through Pattern Anomaly Detection
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DATAMINE
2008
219views more  DATAMINE 2008»
13 years 6 months ago
Correlating burst events on streaming stock market data
Abstract We address the problem of monitoring and identification of correlated burst patterns in multi-stream time series databases. We follow a two-step methodology: first we iden...
Michail Vlachos, Kun-Lung Wu, Shyh-Kwei Chen, Phil...
FLAIRS
2004
13 years 8 months ago
Spatiotemporal Novelty Detection Using Resonance Networks
We present a single-layer recurrent neural network that implements novelty detection for spatiotemporal patterns. The architecture is based on the structure of region CA3 in the h...
Benjamin A. Rowland, Anthony S. Maida
SG
2007
Springer
14 years 25 days ago
Data-Embeddable Texture Synthesis
Abstract. Data hiding techniques onto images provide tools for protecting copyright or sending secret messages, and they are currently utilized as a simple input device of a cell p...
Hirofumi Otori, Shigeru Kuriyama
KDD
2007
ACM
220views Data Mining» more  KDD 2007»
14 years 7 months ago
SCAN: a structural clustering algorithm for networks
Network clustering (or graph partitioning) is an important task for the discovery of underlying structures in networks. Many algorithms find clusters by maximizing the number of i...
Xiaowei Xu, Nurcan Yuruk, Zhidan Feng, Thomas A. J...
ICRA
2005
IEEE
136views Robotics» more  ICRA 2005»
14 years 10 days ago
Fast Circular Landmark Detection for Cooperative Localisation and Mapping
— Map building through cooperative localisation (co-location) using circular geometric targets and a SICK laser range scanner is investigated. The tenet of co-location is circle ...
Julian Ryde, Huosheng Hu