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,...
Satisfying the basic requirements of accuracy and understandability of a classifier, decision tree classifiers have become very popular. Instead of constructing the decision tree ...
Mihael Ankerst, Christian Elsen, Martin Ester, Han...
This paper presents a user study of the visual quality of an imaging pipeline employing the optimal body-centered cubic (BCC) sampling lattice. We provide perceptual evidence supp...
Tai Meng, Benjamin Smith 0002, Alireza Entezari, A...
In this work, we address visualization of spatio-temporal data for military application. Four different visualization prototypes have been developed to track the movement of milita...
Large-area terrain visualization is important to multimedia and military applications. However, such a huge amount of terrain data is not easily able to process on a general perso...