Abstract. We describe a new method for unsupervised structure learning of a hierarchical compositional model (HCM) for deformable objects. The learning is unsupervised in the sense...
Long Zhu, Chenxi Lin, Haoda Huang, Yuanhao Chen, A...
This paper presents computer simulations which investigate the effect that different group sizes have on the emergence of compositional structures in languages. The simulations are...
In this paper the control of exible joint manipulators is studied in detail. A composite control algorithm is proposed for the exible joint robots, which consists of two main part...
Genetic regulatory networks have been modeled as discrete transition systems by many approaches, benefiting from a large number of formal verification algorithms available for the ...
We provide precise high-level models for eight fundamental service interaction patterns, together with schemes for their composition into complex service-based business process int...