We introduce transformations from time series data to the domain of complex networks which allow us to characterise the dynamics underlying the time series in terms of topological ...
Inductive learning of first-order theory based on examples has serious bottleneck in the enormous hypothesis search space needed, making existing learning approaches perform poorl...
The Reorderable Matrix is a simple visualization method for quantitative tabular data. This paper examines how first-time users interact with the Reorderable Matrix and how well t...
Abstract. The task of similarity search is widely used in various areas of computing, including multimedia databases, data mining, bioinformatics, social networks, etc. For a long ...
With decreasing costs of high quality surveillance systems, human activity detection and tracking has become increasingly practical. Accordingly, automated systems have been desig...
Jong Taek Lee, Michael S. Ryoo, Matthew Riley, Jak...