Subgraph matching is to find all subgraphs in a data graph that are isomorphic an existing query graph. NP-hard problem, yet has found its applications many areas. Many learning-based methods have been proposed for matching, whereas few designed subgraph matching. The problem generally more challenging, mainly due the different sizes between two graphs, resulting considerable large space of sol...

With the popularization of intelligent manufacturing, manipulator has found ever wider application in various industries. A requires a real-time and fast control algorithm order to improve accuracy all kinds precise operations. This paper proposes an based on adaptive radial basis function (RBF) for approximating parameters manipulator, equations are designed automatically adjust weight RBF. Pr...

Conventional networks for object skeleton detection are usually hand-crafted. Although effective, they require intensive priori knowledge to configure representative features objects in different scale granularity.In this paper, we propose adaptive linear span network (AdaLSN), driven by neural architecture search (NAS), automatically and integrate scale-aware detection. AdaLSN is formulated wi...

Lung cancer has one of the highest mortality rates in world and threatens people’s health. Timely accurate diagnosis can greatly reduce number deaths. Therefore, an system is extremely important. The existing methods have achieved significant performances on lung diagnosis, but they are insufficient fine-grained representations. In this paper, we propose a novel attentive method to differentiat...

Abstract This paper first introduces the basic concept of network synchronization and several common types. Secondly, aiming at control problem a class discrete spatiotemporal networks, standard strategy controller are proposed based on Lyapunov stability theory. In order to further verify effectiveness theory, model is selected, coupling matrix identification rate unknown parameters designed f...