Image clustering is a particularly challenging computer vision task, which aims to generate annotations without human supervision. Recent advances focus on the use of self-supervised learning strategies in image clustering, by first valuable semantics and then representations. These multiple-phase algorithms, however, involve several hyper-parameters transformation functions, are computationall...

Purpose: Present research was conducted with aim of investigating the fit pattern of family function and relationship beliefs mediated by differentiation of self with social interest. Methodology: This study was cross-sectional in terms of purpose was applied and in terms of implementation method was quantitative from type of correlation. The study population was students of Islamic Azad Unive...

The first contribution of this article is a politico-philosophical map that, drawing upon two common sets arguments against modern natural rights, might help to explain the prevailing neo-republican position on rights. Under label ‘abstraction argument’, we explore view that rights are metaphysical construct usually ends in violent application speculative principles society. ‘self-interest disc...

We investigate a dividend maximization problem under stochastic interest rates with Ornstein-Uhlenbeck dynamics. This setup also takes negative into account. First deterministic time is considered, where an explicit separating curve α(t) can be found to determine the optimal strategy at t. In second setting, we introduce strategy-independent stopping time. The properties and behavior of these c...