This paper is an addition to the discourse surrounding interface theory and pervasive games. A buzzword by nature, the term ´interface´ needs to be investigated and redefined in...
Currently, the Internet and the World Wide Web on-line business is booming, with traffic, advertising and content growing at sustained exponential rates. However, the full potentia...
We present a new method for spectral clustering with paired data based on kernel canonical correlation analysis, called correlational spectral clustering. Paired data are common i...
Analyzing, visualizing, and illustrating changes within time-varying volumetric data is challenging due to the dynamic changes occurring between timesteps. The changes and variatio...
Probabilistic feature relevance learning (PFRL) is an effective technique for adaptively computing local feature relevance for content-based image retrieval. It however becomes le...