نتایج جستجو برای: svd

تعداد نتایج: 4424  

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه شیراز - دانشکده علوم 1392

جبر خطّی شاخه ای از ریاضیات است که به بررسی و مطالع? ماتریس ها، بردارها، فضاهای برداری (فضاهای خطّی)، تبدیلات خطی، و دستگاه های معادلات خطی می پردازد. در جبر خطی، الگوریتم svd یک تجزیه از ماتریس حقیقی یا مختلط با کاربردهای فراوان و مفید در پردازش سیگنال و آمار است. الگوریتم svd یک تکنیک برای تجزیه یک ماتریس به ضرب سه فاکتور می باشد. روش ژاکوبی یکی از اولین الگوریتم ها جهت اجرایی کردن svd می باش...

Journal: :Cerebrovascular diseases 2012
V Held K Szabo H Bäzner M G Hennerici

BACKGROUND Recovery from stroke is presumed to be a function of a cerebral network. Chronic small vessel disease (SVD) has been shown to disrupt this network's integrity and has been proposed as a predictor of poor outcome after stroke. We studied this hypothesis in patients with acute ischemic stroke of the striatocapsular region, an area of pronounced cortical and subcortical connectivity. ...

Journal: :Stroke 2011
Arani Nitkunan Silvia Lanfranconi Rebecca A Charlton Thomas R Barrick Hugh S Markus

BACKGROUND AND PURPOSE cerebral small vessel disease (SVD) is the most common cause of vascular dementia. Interest in the use of surrogate markers is increasing. The aims of this study were to determine if brain volume was different between patients with SVD and control subjects, whether it correlated with cognition in SVD, and whether changes in brain volume could be detected during prospectiv...

Journal: :The American Mathematical Monthly 2012
Carla D. Martin Mason A. Porter

The singular value decomposition (SVD) is a popular matrix factorization that has been used widely in applications ever since an efficient algorithm for its computation was developed in the 1970s. In recent years, the SVD has become even more prominent due to a surge in applications and increased computational memory and speed. To illustrate the vitality of the SVD in data analysis, we highligh...

2017
Benjamin Huber Reinhold Schneider

The hierarchical SVD provides a quasi-best low rank approximation of high dimensional data in the hierarchical Tucker framework. Similar to the SVD for matrices, it provides a fundamental but expensive tool for tensor computations. In the present work we examine generalizations of randomized matrix decomposition methods to higher order tensors in the framework of the hierarchical tensors repres...

Journal: :Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism 2014
Robert D Stevens Yousef Hannawi Haris Sair

Small vessel disease (SVD) is linked to cognitive impairment and dementia, yet little is known regarding functional activation in patients with SVD. Resting fMRI recordings suggest reduced connectivity in prefrontal, parietal and cingulate nodes and reciprocally increased connectivity in cerebellum, alterations which predicted neuropsychological test performance. Together with diffusion tensor ...

Journal: :IEEE Transactions on Signal Processing 2004

Journal: :IEEE Transactions on Microwave Theory and Techniques 2000

Journal: :Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 1996

Journal: :Stroke 2014
Yoko Okada Katsuhiko Kohara Masayuki Ochi Tokihisa Nagai Yasuharu Tabara Michiya Igase Tetsuro Miki

BACKGROUND AND PURPOSE Arterial stiffness, a risk factor of brain small vessel diseases (SVD), causes hemodynamic changes. Mechanical stresses, circumferential wall tension (WT), and shear stress (SS) may change with arterial stiffness and be related to SVD. We investigated the associations between mechanical stresses and arterial stiffness and SVD. METHODS A total of 1296 subjects without ap...

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