The structure of a Markov network is typically learned using top-down search. At each step, the search specializes a feature by conjoining it to the variable or feature that most ...
ACCV
In this paper we propose a novel approach to binocular stereo for fast matching of high-resolution images. Our approach builds a prior on the disparities by forming a ...
Current approaches to Business Process Management (BPM) and Operational Business Intelligence (BI) integration have been very limited and simply reduced to the problem of technica...
The Hidden Markov Model (HMM) has been widely used in many applications such as speech recognition. A common challenge for applying the classical HMM is to determine the structure...
A number of proposals exist how to support the concept of roles at the level of programming languages. While some of these proposals indeed exhibit very promising properties, the c...