—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
With the advent and proliferation of digital cameras and computers, the number of digital photos created and stored by consumers has grown extremely large. This created increasing...
Yi Wu, Igor Kozintsev, Jean-Yves Bouguet, Carole D...
Technological developments now allow community groups, clubs, and even ordinary individuals to create their own, publicly accessible online digital multi-media collections. Howeve...
In this paper we propose a high-level description of the behavior of digital systems. Behaviors are specified with a graphical synchronous model: “SyncCharts”. SyncCharts supp...