In this paper, we propose a novel approach for the robust detection and classification of dissolve sequences in videos. Our approach is based on the multi-resolution representati...
The number of objects that can be maintained in visual working memory without interference is limited. We present simulations of a model of visual working memory in ventral prefron...
Gwendid T. van der Voort van der Kleij, Marc de Ka...
Abstract. In this paper, a new approach for retrieval from semistructured photographic collections is described. We have developed a retrieval model based on the Dempster-Shafer th...
We present a component-based system for object detection and identification. From a set of training images of a given object we extract a large number of components which are clust...
Bernd Heisele, Ivaylo Riskov, Christian Morgenster...
We investigate prototype-driven learning for primarily unsupervised grammar induction. Prior knowledge is specified declaratively, by providing a few canonical examples of each ta...