We present a novel probabilistic latent variable model to perform linear dimensionality reduction on data sets which contain clusters. We prove that the maximum likelihood solution...
Abstract. This paper describes a novel fuzzy rule-based modeling approach for some slow industrial processses. Structure identification is realized by clustering and support vecto...
— This paper presents a novel method of generating extractive summaries for multiple documents. Given a cluster of documents, we firstly construct a graph where each vertex repre...
Many applications require matching objects to a predefined, yet highly dynamic set of categories accompanied by category descriptions. We present a novel approach to solving this...
Jianying Hu, Moninder Singh, Aleksandra Mojsilovic
Abstract. There has been great success in speeding up global illumination computation in diffuse environments. The concept of clustering allows radiosity computations even for scen...
Marc Stamminger, Philipp Slusallek, Hans-Peter Sei...