We present a novel non-parametric unsupervised segmentation algorithm based on Region Competition [21]; but implemented within a Level Sets framework [11]. The key novelty of the ...
In this paper, we propose a novel unsupervised approach to query segmentation, an important task in Web search. We use a generative query model to recover a query's underlyin...
In various application domains there is a desire to compare process models, e.g., to relate an organization-specific process model to a reference model, to find a web service match...
Wil M. P. van der Aalst, Ana Karla A. de Medeiros,...
We present a method for automatically identifying verbal participation in diathesis alternations. Automatically acquired subcategorization frames are compared to a hand-crafted cl...
Automatic construction of Shape and Appearance Models from examples via establishing correspondences across the training set has been successful in the last decades. One successfu...