Hierarchical Latent Attribute Models (HLAMs) are a family of discrete latent variable models that attracting increasing attention in educational, psychological, and behavioral sciences. The key ingredients an HLAM include binary structural matrix directed acyclic graph specifying hierarchical constraints on the configurations attributes. These components encode practitioners' design information...

Pedestrian attribute recognition in surveillance scenarios is still a challenging task due to the inaccurate localization of specific attributes. In this paper, we propose novel view-attribute method based on attention (VALA), which utilizes view information guide process focus attributes and mechanism localize attribute-corresponding areas. Concretely, leveraged by prediction branch generate f...

let $g$ be a finite $p$-soluble group‎, ‎and $p$ a sylow $p$-sub-group of $g$‎. ‎it is proved‎ ‎that if all elements of $p$ of order $p$ (or of order ${}leq 4$ for $p=2$) are‎ ‎contained in the $k$-th term of the upper central series of $p$‎, ‎then the $p$-length of‎ ‎$g$ is at most $2m+1$‎, ‎where $m$ is the greatest integer such that‎ $p^m-p^{m-1}leq k$‎, ‎and the exponent of the image of $p$...

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We investigate the complexity of approximately counting stable roommate assignments in two models: (i) the k-attribute model, in which the preference lists are determined by dot products of “preference vectors” with “attribute vectors” and (ii) the k-Euclidean model, in which the preference lists are determined by the closeness of the “positions” of the people to their “preferred positions”. Ex...