An efficient method is presented for rigorous description of three-dimensional electromagnetic diffraction fields in slot systems containing several parallel plane interfaces between dielectrics and conductors. For such structures, the method employs the representation of spatial field components in terms of two complex scalar functions. They specify two field polarizations, which reflect and r...

This paper presents an efficient face recognition system which can handle partial occlusion in both training and test image sets. We hybridize Gabor filter with Eigen faces which make use of localization effect of Gabor filter and whole appearance effect of Eigen faces. It has been tested on AR database which contains naturally occluded face images.

The eigen fuzzy set of a given fuzzy relation often corresponds to an occurrence of invariability in natural sciences. By determining the fuzzy relations as connections between pairs of symptoms we utilize the greatest and the least eigen fuzzy sets in order to find the estimates of the medicine effectiveness levels.

With the advancement in geospatial data acquisition technology, large sizes of digital data are being collected for our world. These include airand space-borne imagery, LiDAR data, sonar data, terrestrial laser-scanning data, etc. LiDAR sensors generate huge datasets of point of multiple returns. Because of its large size, LiDAR data has costly storage and computational requirements. In this ar...

Reconstructing hadron spectral functions through Euclidean correlation are of the important missions in lattice QCD calculations. However, a K\"allen--Lehmann(KL) representation, reconstruction is observed to be ill-posed practice. It usually ascribed fewer observation points compared number function. In this paper, by solving eigenvalue problem continuous KL convolution, we show analytically t...

We present a new framework for prior-constrained sparse decomposition of matrices derived from the neuroimaging data and apply this method to functional network analysis of a clinically relevant population. Matrix decomposition methods are powerful dimensionality reduction tools that have found widespread use in neuroimaging. However, the unconstrained nature of these totally data-driven techni...

A new method for diffusion tensor MRI (DT-MRI) regularization is presented that relies on graph diffusion. We represent a DT image using a weighted graph, where the weights of edges are functions of the geodesic distances between tensors. Diffusion across this graph with time is captured by the heat-equation, and the solution, i.e. the heat kernel, is found by exponentiating the Laplacian eigen...

This work presents a theory for games with symmetric externali-ties, where the externalities by any one player imposed on another is same as the vice versa. The theory connects a social optimum outcome with its eigen-equilibrium, a Nash equilibrium of a game that is attained by transforming a social optimum. An implication of the theory is that social optimum could be implemented in a way with ...

Genetic Algorithm is used in this paper, which presents the designing an optimized tool for face detection application with idea of “Survival of the fittest”. If higher level of adaption can be achieved, existing systems can perform their functions longer & better. Popular method in feature extraction is principal component analysis (PCA), for feature subset selection used Genetic algorithm (GA...

We present an exact solution of Eigen's quasispecies model with a general degradation rate and fitness functions, including a square root decrease of fitness with increasing Hamming distance from the wild type. The found behavior of the model with a degradation rate is analogous to a viral quasispecies under attack by the immune system of the host. Our exact solutions also revise the known resu...