934 search results - page 28 / 187 » Anomaly Detection Using Visualization and Machine Learning |
101
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TIP
2008
14 years 9 months ago
2008
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
ASPLOS
2010
ACM
15 years 4 months ago
2010
ACM
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
ICASSP
2008
IEEE
15 years 4 months ago
2008
IEEE
The one-class and cost-sensitive support vector machines (SVMs) are state-of-the-art machine learning methods for estimating density level sets and solving weighted classificatio...
107
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RAID
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. We propose a novel framework of autonomic intrusion detection that fulfills online and adaptive intrusion detection in unlabeled audit data streams. The framework owns a...
115
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VIS
2009
IEEE
15 years 11 months ago
2009
IEEE
In this paper we describe a novel method to integrate interactive visual analysis and machine learning to support the insight generation of the user. The suggested approach combine...