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AnAnomalyBasedApproachforIntrusion
- A new system for web attack detection is presented. It follows the anomaly-based approach, therefore known and unknown attacks can be detected. The system relies on a XML file to classify the incoming requests as normal or anomalous. The XML
Classificationofhyper_magebasedonBEMD
- Abstract : As a powerful tool for image processing ，bi-dimensional empirical mode decomposition ( BEMD) covers a wide range of applications． In this paper ，we explore a novel hyperspectral classification algorithm which integrates BEMD and s
abc-colony
- It is used to classify the attributes using abc colony algorithm
svm
- It is used to classify and find the heart disease using SVM classifier
Classification-of-interference-in-slow-frequency-
- Abstract—In slow frequency hopping systems, it is critical to detect, classify, and mitigate interference, as it degrades the system performance. Generalized likelihood ratio test algorithm was proposed for the detection of interference. Howeve
base-paper2
- Abstract—A novel algorithm to remove rain or snow streaks a video sequence using temporal correlation and low-rank matrix completion is proposed in this paper. Based on the observation that rain streaks are too small and move too fast to aff