Bias field signal is a low-frequency and very smooth signal that corrupts MRI images specially those produced by old MRI (Magnetic Resonance Imaging) machines. Image processing algorithms such as segmentation, texture analysis or classification that use the graylevel values of image pixels will not produce satisfactory results. A pre-processing step is needed to correct for the bias field signa...

In PKC 2012, a public key encryption based on new multivariate quadratic assumptions is proposed. The compactness and security of the algorithm illumined us in applying it in proxy re-encryption scheme. In this paper, a novel unidirectional PRE scheme (NMQ-PRE) is constructed based on new multivariate quadratic assumptions. The new scheme is a formal PRE scheme and compact in cryptographic prot...

We rst review the basic properties of the well known classes of Toeplitz Hankel Vandermonde and other related structured matrices and re examine their correlation to operations with univariate polynomials Then we de ne some natural extensions of such classes of matrices based on their correlation to multivariate polynomials We describe the correlation in terms of the associated operators of mul...

A similarity matrix is a covariance matrix generated by additive nested common factors having independent components. The set of such matrices is a structured subset of covariance matrices, closed under permutation and restriction, which makes it potentially useful as a sub-model for the joint dependence of several responses. It is also equal to the set of rooted trees. Some issues connected wi...

Many predicted structured objects (e.g., sequences, matchings, trees) are evaluated using the F-score, alignment error rate (AER), or other multivariate performance measures. Since inductively optimizing these measures using training data is typically computationally difficult, empirical risk minimization of surrogate losses is employed, using, e.g., the hinge loss for (structured) support vect...

the purpose of this research was to investigate the effectiveness of eclectic model based on acceptance and commitment therapy (act) and metacognitive therapy (mct) on symptoms in patient with pure generalized anxiety disorder. the research method was clinical experimentation with pre-posttest and control group. statistic community was all of the men and women patients that suffered from pure g...

The structured total least squares estimator, defined via a constrained optimization problem, is a generalization of the total least squares estimator when the data matrix and the applied correction satisfy given structural constraints. In the paper, an affine structure with additional assumptions is considered. In particular, Toeplitz and Hankel structured, noise free and unstructured blocks a...

Modelling structured multivariate point process data has wide ranging applications like understanding neural activity, developing faster file access systems and learning dependencies among servers in large networks. In this paper, we develop the Poisson network model for representing multivariate structured Poisson processes. In our model each node of the network represents a Poisson process. T...

The aim of this study was the effectiveness of behavioral couple’s therapy to reduce domestic violence in women substance abusers. The design of this study was experimental with pre-test, pos-ttest and fallow up with control group. The study included all couples that had referred to Cessation clinic for substance abuse in Ahvaz city that among them 20 couples were selected and randomly di...