This paper investigates the application of randomized algorithms for large scale SVM learning. The key contribution of the paper is to show that, by using ideas random projections...
Identifying co-varying causal elements in very high dimensional feature space with internal structures, e.g., a space with as many as millions of linearly ordered features, as one...
In this work we recall attention to problems that arise in a client-server setting with server-side rendering and propose a practical method for accelerated high-quality render-st...
This paper introduces a hierarchical Markov model that can learn and infer a user's daily movements through the commue model uses multiple levels of abstraction in order to b...
Heuristic evaluation is a well known discount evaluation technique in HCI but has not been utilized in Information Visualization (InfoVis) to the same extent. While several sets o...
Torre Zuk, Lothar Schlesier, Petra Neumann, Mark S...