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Anomaly detection technique play an extraordinary role in the Intrusion Detection System (IDS) for its ability to detect novel attacks. To overcome the high-dimensionality problem the anomaly detection cursed of, we propose a novel Meta-Heuristic-based Sequential Forward Selection (MH_SFS) feature selection algorithm, which can be generally implemented in anomaly detection system. It is an improvement...
Video object tracking technology has important application in the fields of traffic, military and others. In this paper, a color histogram related video object tracking algorithm is proposed by using Tabu searching theory. First of all, object's features in HSV and RGB color space are extracted, and then we use either entropy or Bhattacharyya to calculate the similarity between raw feature and current...
Aim at the problem that it is difficult to detect reciprocating compressor early fault data with complex shape clusters, a novel fault detection algorithm is put forward based on antibody clonal selection and immune memory principle. Firstly, high dimension space of raw feature signals is constructed by multivariate statistical analysis, and then the local tangent space alignment (LTSA) algorithm...
In this paper a face indexing scheme based on spatial similarity is proposed. Spatial scattering of anatomically relevant dominant points on faces is preserved in the kd-tree index structure for efficient retrieval. The methodology is invariant to linear transformation and is robust for pose and expression variations. Experimentation on ORL face database has corroborated the retrieval effectiveness...
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