Abstract. Clustering still represents the most commonly used technique to analyze gene expression data—be it classical clustering approaches that aim at finding biologically rel...
We introduce Gaussian process dynamical models (GPDMs) for nonlinear time series analysis, with applications to learning models of human pose and motion from high-dimensional motio...
A data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. Consequently, the knowledge embedded in a data stream is more likely to be c...
Animal development can be described as a complex, threedimensional cellular system that changes dramatically across time as a consequence of cell proliferation, differentiation an...
Stephan Preibisch, Radoslaw Ejsmont, Torsten Rohlf...
Visual data analysis has received a lot of research interest in recent years, and a wide variety of new visualization techniques and applications have been developed to improve in...
Hartmut Ziegler, Tilo Nietzschmann, Daniel A. Keim