Our group within the University of Amsterdam participated in the large-scale visual concept detection task of ImageCLEF 2009. Our experiments focus on increasing the robustness of...
Koen E. A. van de Sande, Theo Gevers, Arnold W. M....
Image retrieval critically relies on the distance function used to compare a query image to images in the database. We suggest to learn such distance functions by training binary ...
This paper explores correspondence and mixture topic modeling of documents tagged from two different perspectives. There has been ongoing work in topic modeling of documents with...
Abstract. Patch based approaches have recently shown promising results for the recognition of visual object classes. This paper investigates the role of different properties of pat...
Alexandra Teynor, Esa Rahtu, Lokesh Setia, Hans Bu...
A number of studies have presented machine-learning approaches to semantic role labeling with availability of corpora such as FrameNet and PropBank. These corpora define the seman...