With the massive advance of electronic document repositories, usable interfaces to these repositories gain importance. While sophisticated information retrieval techniques provide...
In this paper, we present a method of object classification within the context of Visual Surveillance. Our goal is the classification of tracked objects into one of the two classe...
John-Paul Renno, Dimitrios Makris, Graeme A. Jones
We developed and evaluated a visualization tool for browsing individual blog archives. In our study, we solicited qualitative feedback from the participants to explore the reasons...
A multivariate network is a graph whose nodes contain multi-dimensional attributes. We propose a method to visualize such a network using spherical Self-Organizing Map (SOM) and c...
Abstract. A convolutional network architecture termed sparse convolutional neural network (SCNN) is proposed and tested on a real-world classification task (car classification). In...