Classifying pictures into one of several semantic categories is a classical image understanding problem. In this paper, we present a stratified approach to both binary (outdoor-in...
This paper presents a novel approach to pedestrian classification which involves utilizing the synthesized virtual samples of a learned generative model to enhance the classificat...
Rapid pervasion of the web into users' daily lives has put much importance on capturing location-specific information on the web, due to the fact that most human activities o...
Chuang Wang, Xing Xie, Lee Wang, Yansheng Lu, Wei-...
Previous studies indicate that the expected effects of e-Government are slower to realize than initially expected. Several authors argue that e-Government involves particularly co...
We construct a formal framework for investigating epistemic and temporal notions in the context of distributed quantum systems. While we rely on structures developed in [DDKP05], w...