Monsky's theorem from 1970 states that a square cannot be dissected into an odd number of triangles of the same area, but it does not give a lower bo…

An approximate method based on adiabatic time dependent density functional theory (TDDFT) is presented, that allows for the description of the electr…

Object detection and counting are related but challenging problems, especially for drone based scenes with small objects and cluttered background. In…

In this paper a new approach is derived in the context of shape theory. The implemented methodology is motivated in an open problem proposed in \cite…

We present a deep-learning framework for real-time multiple spatio-temporal (S/T) action localisation, classification and early prediction. Current s…

The problem of minimizing convex functionals of probability distributions is solved under the assumption that the density of every distribution is bo…

This work tackles the problem of robust zero-shot planning in non-stationary stochastic environments. We study Markov Decision Processes (MDPs) evolv…

The non isotropic noncentral elliptical shape distributions via pseudo-Wishart distribution are founded. This way, the classical shape theory is exte…

We consider the inpainting problem for noisy images. It is very challenge to suppress noise when image inpainting is processed. An image patches base…

By signing up you accept our content policy

Already have an account? Sign in

No a member yet? Create an account