Markov random field models provide a robust and unified framework for early vision problems such as stereo, optical flow and image restoration. Inference algorithms based on graph...
Abstract. Model-driven architecture envisions a paradigm shift as dramatic as the one from low-level assembler languages to high-level programming languages. In order for this visi...
The multi domain nature of a mechatronic system makes it difficult to model using a single modeling technique over the whole system as varying sets of system variables are require...
The ability for multiple threads to enter the same graph node without contention and conflict is a necessary component of the graph reduction of functional languages since graph c...
Abstract. We introduce a generic algorithmic technique and apply it on decision and counting versions of graph coloring. Our approach is based on the following idea: either a graph...