In this paper, we develop an architecture for principal component analysis (PCA) to be used as an outlier detection method for high-speed network intrusion detection systems (NIDS...
Localization and segmentation of Optic Disk (OD) is an important prerequisite for automatic detection of Diabetic Retinopathy (DR) from digital retinal fundus images. Considerable...
S. Balasubramanian, Srikanth Khanna, V. Chandrasek...
Independent component analysis (ICA) is a powerful method to decouple signals. Most of the algorithms performing ICA do not consider the temporal correlations of the signal, but o...
Principal component analysis (PCA) is an effective tool for spectral decorrelation of hyperspectral imagery, and PCA-based spectral transforms have been employed successfully in co...
A new method for separating the mixtures of independent sources has been proposed recently in [8]. This method is based on two scatter matrices with the so called independence pro...