This paper mainly discusses the stable gesture classification criteria, which can identify several human motions from a sequence of images with the eigen space method. We have already proposed the gesture classification technique with the silhouette images and the PCA method, which includes the difficulty in the correspondence between two sets of eigen points, i.e. dictionary and input sequence...

The first part of the dissertation investigates the application of the theory of large random matrices to high-dimensional inference problems when the samples are drawn from a multivariate normal distribution. A longstanding problem in sensor array processing is addressed by designing an estimator for the number of signals in white noise that dramatically outperforms that proposed by Wax and Ka...

Rotors with high gyroscopic effects and low resonance frequencies caused by the blade wheel (blade frequencies) can lead to stabilization problems in the application field of turbomolecular pumps. If such a rotor is stabilized by active magnetic bearings, the control structure could be destabilized by the splitting up of the rigid body eigen-frequencies caused by the gyroscopic effect. The cont...

There are many trials for modeling of the quarkonium systems like (cc-,bb-andb-c). One them is using phenomenological potentials by different techniques to describe their spectroscopy. In present work we choose a potential (linear, Yukawa and harmonic potentials) in framework nonrelativistic Schrödinger’s equation with relativistic corrections Nikiforov-Uvarov (NU) method. We obtained eigen fun...

the purpose of this research was market segmentation of sport tourism in iran for foreign tourists and modeling a target market. a questionnaire including 53 items was developed by researchers. the validity and reliability of the questionnaire were examined and approved (?=0.93). it was distributed among 710 international participants from 35 countries attending fajr international sports event ...

This paper presents a novel generalized feature extraction method based on the Expansion Matching EXM method and the Karhunen Loeve KL transform This yields an e cient method to locate a large variety of features with reduced number of ltering operations The EXM method is used to design optimal detectors for di erent features The KL representation is used to de ne an optimal basis for represent...

The paper solves the eigenvalues of a symmetric matrix by using three novel algorithms developed in m-dimensional affine Krylov subspace. n-dimensional eigenvector is superposed constant shifting vector and an m-vector. In first algorithm, m-vector derived as function eigenvalue maximizing Rayleigh quotient to generate characteristic equation, which, however, not easy determine since its roots ...

Singular value decomposition (SVD) is a useful multivariate technique for dimension reduction. It has been successfully applied to analyze microarray data, where the eigen vectors are called eigen-genes/arrays. One weakness associated with the SVD is the interpretation. The eigen-genes are essentially linear combinations of all the genes. It is desirable to have sparse SVD, which retains the di...

The current research paper is an implementation of Eigen Faces and Karhunen-Loeve Algorithm for face recognition. The designed program works in a manner where a unique identification number is given to each face under trial. These faces are kept in a database from where any particular face can be matched and found out of the available test faces. The Karhunen –Loeve Algorithm has been implement...