Abstract Photo composition is one of the most important factors in aesthetics photographs. As a popular application, recommendation for photo focusing on specific subject has been ignored by recent deep-learning-based approaches. In this paper, we propose subject-aware image method, SAC-Net, which takes an RGB and binary window mask as input, returns good compositions crops containing subject. ...

The paper analyzes the possibility and expediency of recognizing robots artificial intelligence systems as subjects or quasi-subjects law. author states that there are three approaches to understanding subject matter: 1) formal legal (positivist) approach; 2) anthropocentric 3) naturalistic approach Only within framework latter, attempts made identify objectively existing features At same time,...

The aim of this paper is to develop a representation of control that does not require a PRO-subject. I first analyse obligatory control using a de-compositional analysis of u-roles, according to which u-roles are divided into two selectional requirements. The resulting theory makes the same predictions as one based on PRO, yet avoids dependence on this ill-defined empty category. I then concent...

This paper presents the first-ever processing experiment on relativization in Avar, an ergative language with prenominal relatives. The results show no processing difference between the ergative subject gap and the absolutive object gap. The absolutive subject gap, however, is processedmuch faster. We propose a principled explanation for this result. On the one hand, Avar has a subject preferen...