Recent progress in chips–neuron interface suggests real biological neurons as long-term alternatives to silicon transistors. The first step ning such computing systems is to bu...
Learning communities from a graph is an important problem in many domains. Different types of communities can be generalized as link-pattern based communities. In this paper, we p...
Bo Long, Xiaoyun Xu, Zhongfei (Mark) Zhang, Philip...
The main characteristics of component models is their strict structure enabling better code reuse. Correctness of component composition is well understood formally but existing wor...
The design of modern complex embedded systems require a high level of abstraction of the design. The SimnML[1] is a specification language to model processors for such designs. Se...
The goal of this paper is to investigate the impact of dictionary choosing for a total variation dictionary model. After theoretical analysis, we present the experiments in which ...