The structure tensor is a simple and robust descriptor that was developed to analyze textures orientation

Results in Table VI suggest that in many cases, the low-n-rank, t-SVD based rank and the KBR based rank robust tensor PCA models fail to ex- tract the low-rank part while our

Let X be a n-dimensional compact Alexandrov space satisfying the Perel’man conjecture. Let X be a compact n-dimensional Alexan- drov space of curvature bounded from below by

We all want to be friendly with our neighbours, but we also need our privacy. Some neighbours may be too friendly to the point that they start to become nosy, and far too friendly

Often we are asked to find the local maximum and minimum points (of a graph), or the local maximum and minimum values (reached by a function). Definition : The minimum (plural

The proposed GMNS consists of the following two main contributions (i) we extend the concept of PCS (properly connected sequence) used in the MNS method in such a way one can

I shall describe three configurations of uncertainty, each associated with its own field of opportunities and frames of reference, which, at different historical moments,

It is plain that we are not only acquaintcd with the complex " Self-acquainted-with-A," but we also know the proposition "I am acquainted with A." Now here the

The key idea is that we collect meta- data about the attributes in the database (e.g., attribute data type), meta-data about the feature generative functions (e.g., id of the