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ICNS
2007
IEEE
14 years 2 months ago
Data fusion algorithms for network anomaly detection: classification and evaluation
In this paper, the problem of discovering anomalies in a large-scale network based on the data fusion of heterogeneous monitors is considered. We present a classification of anoma...
Vasilis Chatzigiannakis, Georgios Androulidakis, K...
FLAIRS
2003
13 years 10 months ago
Automated Data Fusion and Situation Assessment in Space Systems
Spacecraft are key components of military operations and everyday life. To achieve space situation awareness, human operators must monitor large numbers of parameters. During off-...
Mark L. Hanson, Paul G. Gonsalves
DEXAW
2007
IEEE
116views Database» more  DEXAW 2007»
14 years 3 months ago
Regression Relevance Models for Data Fusion
Data fusion has been investigated by many researchers in the information retrieval community and has become an effective technique for improving retrieval effectiveness. In this p...
Shengli Wu, Yaxin Bi, Sally I. McClean
ISMIR
2004
Springer
149views Music» more  ISMIR 2004»
14 years 2 months ago
Indexing and Retrieval of Music Documents through Pattern Analysis and Data Fusion Techniques
One of the challenges of music information retrieval is the automatic extraction of effective content descriptors of music documents, which can be used at indexing and at retrieva...
Giovanna Neve, Nicola Orio
BMVC
2000
13 years 10 months ago
Data and Decision Level Fusion of Temporal Information for Automatic Target Recognition
Automatic Target Recognition (ATR) is a demanding application that requires separation of targets from a noisy background in a sequence of images. In our previous work [5] the bac...
Kieron Messer, Josef Kittler