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 proposes a new priority scheduling algorithm to maximise site revenue of session-based multi-tier Internet services in a multicluster environment. This research is part...
Recent research into single–objective continuous Estimation– of–Distribution Algorithms (EDAs) has shown that when maximum–likelihood estimations are used for parametric d...
Negative selection algorithms are immune-inspired classifiers that are trained on negative examples only. Classification is performed by generating detectors that match none of ...
In object-oriented programming languages, an object is said to escape the method or thread in which it was created if it can also be accessed by other methods or threads. Knowing ...