We present applications of a recently developed automated nonlinear macromodelling approach to the important problem of macromodelling high-speed output buffers/drivers. Good nonl...
The Random Sample Consensus (RANSAC) algorithm is a popular tool for robust estimation problems in computer vision, primarily due to its ability to tolerate a tremendous fraction o...
The ability to accurately identify the network traffic associated with different P2P applications is important to a broad range of network operations including application-specifi...
Inverted indexes using sequences of characters (n-grams) as terms provide an error-resilient and language-independent way to query for arbitrary substrings and perform approximate...
Static timing analyzers need to know the minimum and maximum number of iterations associated with each loop in a real-time program so accurate timing predictions can be obtained. ...