A family of probabilistic time series models is developed to analyze the time evolution of topics in large document collections. The approach is to use state space models on the n...
through the specification of temporal, spatial and spatio-temporal relations. Moreover, we propose an abstract animation model that can be combined with the intra-media temporal st...
Portfolio credit risk models as well as models for operational risk can often be treated analogously to the collective risk model coming from insurance. Applying the classical Panj...
This paper presents a principled and practical method for the computation of visual saliency of spatiotemporal events in full motion videos. Based on the assumption that uniquenes...
The paper mainly discusses the DRM-enabled learning object model. Firstly, it analyses the art-of-status of Intellectual Property Rights in e-learning. Secondly, according to appl...
Qingtang Liu, Zongkai Yang, Kun Yan, Jing Jin, Wan...