Object detection and tracking, as our eyes do so innately, are entitled to be the most essential components of computer vision from consumer electronics to smart weapons. In video surveillance, these methods facilitate understanding of motion patterns to uncover suspicious events. Navigation systems need them to keep vehicles in lane and avoid collisions. Traffic management systems employ them ...

We derive concentration inequalities for the spectral measure of large random matrices, allowing for certain forms of dependence. Our main focus is on empirical covariance (Wishart) matrices, but general symmetric random matrices are also considered.

while men’s violence is assessed within their social life, women’s violence is attributed to personal factors, such as mental stress, aggression and/or womanish nervousness, regardless of social factors. unlike such a common interpretation that tries to associate violence of women with interpretations of stereotypes and individual, in this article, violence of women will be explained in terms o...

The covariance matrix of measurements of Markov random fields (processes) has useful properties that allow to develop effective computational algorithms for many problems in the study of Markov fields on the basis of field observations (parametric identification problems, filtering problems, interpolation problems and others). Therefore, approximation of arbitrary random fields by Markov fields...