Abstract. We describe the algorithmic and implementation ideas behind a tool, Orion, for finding common programming errors in C and C++ programs using static code analysis. We aim...
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
Abstract. This paper presents a study of 25 structural features extracted from samples of grapheme `th' that correspond to features commonly used by forensic document examiner...
— Many real-world applications have problems when learning from imbalanced data sets, such as medical diagnosis, fraud detection, and text classification. Very few minority clas...
Packet sampling techniques introduce measurement errors that should be carefully handled in order to correctly characterize the network behavior. In the literature several works h...