In this paper we explain two functional models for entropy based image segmentation: using global 2D and 3D image histograms of grayscale images. We compare results obtained by both methods for different type of images such as: biomedical and micro objects, digital video records and natural photographs. Short introduction of multistage gradient 3D entropy segmentation for texture analysis is al...

In this paper, we introduce an assumption which makes it possible to extend the learning ability of discriminative model to unsupervised setting. We propose an informationtheoretic framework as an implementation of the low-density separation assumption. The proposed framework provides a unified perspective of Maximum Margin Clustering (MMC), Discriminative k -means, Spectral Clustering and Unsu...

A derivative-free framework for optimizing a non-smooth range-based contrast function in order to estimate independent components is presented. The proposed algorithm employs the von-Mises Fisher (vMF) distribution to draw random samples in the cross-entropy (CE) method, thereby intrinsically maintaining the unit-norm constraint that removes the scaling indeterminacy in independent component an...

A critical analysis for the arguments in support of, and against, the traditional approach to thermodynamics of vitreous state is provided. In this approach one presumes that there is a continuous variation of the entropy in the glass-liquid transition temperature range, or a “continuous entropy approach” towards 0 K which produces a positive value of the entropy at T→ 0 K. I find that argument...

This work investigated the possibility to describe fluid flow in a microchannel from thermodynamic point of view, exploring evaluate presence obstacles (or, more general, geometry imperfection) and their influence on fluid. Tsallis entropy concept was employed. form introduced 1988 by Costantino as basis for generalizing standard statistical mechanics generalization Boltzmann-Gibbs entropy. Ins...