Abstract. Recently, we have proposed a novel method for the compression of time series based on mathematical models that explore dependencies between different time series. This r...
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
We propose the use of latent space models applied to local invariant features for object classification. We investigate whether using latent space models enables to learn patterns...
Florent Monay, Pedro Quelhas, Daniel Gatica-Perez,...
This paper describes how an integrated web-based application, code-named FOCI (Flexible Organizer for Competitive Intelligence), can help the knowledge worker in the gathering, or...
Hwee-Leng Ong, Ah-Hwee Tan, Jamie Ng, Hong Pan, Qi...
In this paper we present concepts for integrating glyphs into volumetric data sets. These concepts have been developed with the goal to make glyphbased visualization of multimodal...
Timo Ropinski, Michael Specht, Jennis Meyer-Sprado...