Nonlinear component analysis is a popular nonlinear feature extraction method. It generally uses eigen-decomposition technique to extract the principal components. But the method is infeasible for large-scale data set because of the storage and computational problem. To overcome these disadvantages, an efficient iterative method of computing kernel principal components based on fixed-point algo...

In this paper a classical lead-lag power system stabilizer is used for demonstration. The stabilizer parameters are selected in such a manner to damp the rotor oscillations. The problem of selecting the stabilizer parameters is converted to a simple optimization problem with an eigen value based objective function and it is proposed to employ simulated annealing and particle swarm optimization ...

Soft clustering algorithms can handle real-life datasets better as they capture the presence of inherent overlapping clusters. A soft kernel spectral clustering (SKSC) method proposed in [1] exploited the eigen-projections of the points to assign them different cluster membership probabilities. In this paper, we detect points in dense overlapping regions as overlap points. We also identify the ...

In this paper we critically analyze the so far performed and proposed tests for measuring the general relativistic Lense-Thirring effect in the gravitational field of the Earth with some of the existing accurately tracked artificial satellites. The impact of the 2nd generation GRACE-only EIGEN-GRACE02S Earth gravity model and of the 1st CHAMP+GRACE+terrestrial gravity combined EIGEN-CG01C Earth...

Electrocardiographic (ECG) signals record the heart’s electrical activity over time. These signals have typically been assessed for clinical purposes providing a fair evaluation of the heart’s condition. However, it has been shown recently that they also convey distinctive information that can be used for user identification. In this paper we explore these signals for user identification purpos...

“A picture is worth a thousand words,” but finding the right thousand words to describe a picture has no simple adage. Camera phones and other mobile devices can easily capture a scene, but processing the image to inform its contents and describe the scene requires efficient object recognition and identification. In an effort to augment reality in a potential virtual museum guide, this document...

The multiple classifier system (MCS) is an effective automatic classification method, useful in connection with remote sensing analysis techniques. Combining MSC with induced fuzzy topology enables a decomposition of image classes. This fuzzy topological MCS then provides a new and improved approach to classification. The basic classification methods discussed in this paper include maximum like...

Molecular dynamics simulations using a dissociative water potential were applied to study transport of excess protons in water and determine the applicability of this potential to describe such behavior. While originally developed for gas-phase molecules and bulk liquid water, the potential is transferrable to nanoconfinement and interface scenarios. Applied here, it shows proton behavior consi...

In this paper we proposes a generalized spectral theory for tensors. Our proposed factorization decomposes a symmetric tensor into a product of an orthogonal and a diagonal tensor. In the same time, our factorization offers an expansion of a tensor as a summation of lower rank tensors that are obtained through an outer product defined on matrices. Our proposed factorization shows the relationsh...

Automated facial expression detection problem pose two primary challenges that include variations in expression and facial occlusions (glasses, beard, mustache or face covers). In this paper we introduce a novel automated patch creation technique that masks a particular region of interest in the face, followed by Eigen-value decomposition of the patched faces and generation of Isomaps to detect...