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...
Model reduction of large-scale linear time-invariant systems is an ubiquitous task in control and simulation of complex dynamical processes. We discuss how LQG balanced truncation ...
We discuss the problem of concurrent error detection (CED) with bounded latency in finite state machines (FSMs). The objective of this approach is to reduce the overhead of CED, a...
Motif patterns consisting of sequences of intermixed solid and don't care characters have been introduced and studied in connection with pattern discovery problems of computa...
Quadratic elements place stringent requirements on a surface mesh smoother. One of the biggest challenges is that a good linear element may become invalid when mid-side nodes are ...