نتایج جستجو برای: general tensor discriminant analysis gtda
تعداد نتایج: 3410952 فیلتر نتایج به سال:
abstract in written mode of language, metadiscourse markers are used commonly to help writers in general and academic writers in particular to produce coherent and professional texts. the purpose of the present study was to compare introduction sections of applied linguistics and physics articles regarding their use of interactive and interactional metadiscourse markers based on the model pro...
BACKGROUND AND PURPOSE Considerable clinical and radiological overlap between vascular dementia (VaD) and Alzheimer disease (AD) often makes the diagnosis difficult. Diffusion-tensor imaging studies showed that fractional anisotropy (FA) could be a useful marker for white matter changes. This study aimed to identify regional FA changes to identify a biomarker that could be used to differentiate...
background celiac disease (cd) is a disorder associated with body reaction to gluten. after the gluten intake, an immune reaction against the protein occurs and damages villi of small intestine in celiac patients gradually. objectives the osc, a filtering method for minimization of inter- and intra-spectrometer variations that influence on data acquisition, was applied to biofluid nmr data of c...
In this paper, a novel recognition algorithm based on Discriminant Tensor Subspace Analysis (DTSA) and Extreme Learning Machine (ELM) is introduced. DTSA treats a gray facial image as a second order tensor and adopts two-sided transformations to reduce dimensionality. One of the many advantages of DTSA is its ability to preserve the spatial structure information of the images. In order to deal ...
Canonical correlations analysis (CCA) is often used for feature extraction and dimensionality reduction. However, the image vectorization in CCA breaks the spatial structure of the original image, and the excessive dimension of vector often brings the curse of dimensionality problem. In this paper, we propose a novel feature extraction method based on CCA in multi-linear discriminant subspace b...
introduction: a modern technique for elemental analysis of biological samples is laser induced breakdown spectroscopy (libs). this technique is based on emission of excited atoms, ions, and molecules in plasma produced by focusing a high power laser pulses on sample surface. because of several advantages of libs including little or no sample preparation; minimally invasive; fast analysis time a...
objective: sexual addiction is a psychiatric disorder with unpleasant personal, inter-personal, legal, social, and physical outcomes for the patients. the cycle of this disorder is based on a false belief system known as early maladaptive schemas. this study aimed to examine and compare maladaptive cognitive schemas in sex addicts and normal people. methods: in the present study, a causal-compa...
The aim of this paper is to review likelihood ratio test procedures in multivariate linear models, focusing on projection matrices. It is noted that the projection matrices to the spaces spanned by mean vectors in hypothesis and alternatives play an important role. Some basic properties are given for projection matrices. The models treated include multivariate regression model, discriminant ana...
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