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This paper proposes an adaptive image retrieval method via spatial-frequency mixed features (SFMF). The SFMF can describe spatial and frequency information of image simultaneously. More specifically, spatial feature is local binary pattern (LBP) histogram extracted from image. Frequency features are described as the generalized Gaussian density (GGD) of Contourlet transform detail coefficients and...
Proposed a novel online adaptive network anomaly detection model (OANAD). Purely normal dataset is not needed for training. It can process the network traffic data stream in real-time, alert the abnormal traffic, and dynamically build up its local normal pattern base and intrusion pattern base. The model has a relatively simple architecture which makes it efficient for processing online network traffic...
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