We introduce a measurement system architecture, which has three main qualities: secure two-way transfer of measurement data, quick adaptability to different kinds of measurement ...
Marko Hassinen, Maija Marttila-Kontio, Mikko Saesm...
Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...
Robustly tracking moving objects in video sequences is one of the key problems in computer vision. In this paper we introduce a computationally efficient nonlinear kernel learning...
Chunhua Shen, Anton van den Hengel, Michael J. Bro...
We present the Lixto project, which is both a research project in database theory and a commercial enterprise that develops Web data extraction (wrapping) and Web service definiti...
Georg Gottlob, Christoph Koch, Robert Baumgartner,...
There has been much work on applying multiple-instance (MI) learning to contentbased image retrieval (CBIR) where the goal is to rank all images in a known repository using a smal...