In this paper, we study the problem of visual indoor navigation to an object that is defined by its semantic category. Recent works have shown significant achievements in end-to-end reinforcement learning approach and modular systems. However, both approaches need a big step forward be robust practically applicable. To solve insufficient exploration scenes make more semantically meaningful, ext...

Particle swarm optimization (PSO) has recently been modified to several versions. Heterogeneous PSO is a recent extension which includes behavioral heterogeneity of particles. Here we propose a further developed version that has hierarchical interaction patterns among heterogeneous particles, which we call hierarchical heterogeneous PSO (HHPSO). Two algorithm designs that have been developed an...

A hierarchical register allocation approach in high-level synthesis is presented. First, we accomplish the trivial register allocation and then we attempt to optimize the number of required registers. In this work, we extend conventional register allocation algorithms to handle behavioral descriptions containing conditional branches and loops. However, in our approach the register optimization ...