Social Tagging has become a method of choice for enriching data (like pictures) with meta-data which in turn can be used for searching (like retrieving art pictures) or tag recommendations relying on Singular Value Decompositions (SVD) to reduce dimensionality. We observed that social tagging-based search or tag-recommendation is more successful, if several dimensions describing the tagging com...

A third order real tensor is mapped to a special f-diagonal by going through Discrete Fourier Transform (DFT), standard matrix SVD and inverse DFT. We call such an s-diagonal tensor. An if only it itself in the above process. The space partitioned orthogonal equivalence classes. Each class has unique Two tensors are equal they orthogonally equivalent. Third have same tubal rank T-singular value...

We describe a numerical scheme for evaluating the posterior moments of Bayesian linear regression models with partial pooling coefficients. The principal analytical tool evaluation is change basis from coefficient space to singular vectors matrix predictors. After this and an integration, we reduce problem finding density over $$k + 2$$ dimensions, 2-dimensional density, where k number Moments ...

The traditional singular value decomposition (SVD) method is unable to diagnose the weak fault feature of bearings effectively, which means, it difficult retain effective components (SCs). Therefore, a new method, SVD based on FIC (fault information content), proposed, takes amplitude characteristics frequency as selection index components. Firstly, Hankel matrix original signal constructed, an...

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...

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. ...