A large number of problems in computer vision can be modeled as energy minimization problems in a markov random field (MRF) framework. Many methods have been developed over the y...
Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr
—This paper deals with the problem of estimating the steering direction of a signal, embedded in Gaussian disturbance, under a general quadratic inequality constraint, representi...
Adaptive, or self-aware, computing has been proposed to help application programmers confront the growing complexity of multicore software development. However, existing approache...
Henry Hoffmann, Jonathan Eastep, Marco D. Santambr...
Extract Method has been recognized as one of the most important refactorings, since it decomposes large methods and can be used in combination with other refactorings for fixing a...
We present a preventive model of tutoring for novice programming derived from a human corpus and describe our intelligent tutoring system PROPL embodying that model. The system co...