Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
The planning and management of supply chains require properly specifying the participating members and the relationships among them. Construction supply chains usually consist of n...
Jack C. P. Cheng, Kincho H. Law, Hans Bjornsson, A...
Non-rigid object detection and articulated pose estimation
are two related and challenging problems in computer
vision. Numerous models have been proposed over the
years and oft...
Mykhaylo Andriluka (TU Darmstadt), Stefan Roth (TU...
In software engineering, the use of models and metamodeling approaches (e.g., MDA with MOF/UML) for purposes such as software design or software validation is an established pract...
Fernando Silva Parreiras, Steffen Staab, Andreas W...
We present a method of chunking in Korean texts using conditional random fields (CRFs), a recently introduced probabilistic model for labeling and segmenting sequence of data. In a...