Bayesian inference methods are commonly applied to the classification of brain Magnetic Resonance images (MRI). We use the Maximum Evidence (ME) approach to estimate the most prob...
The detection of unusual or anomalous data is an important function in automated data analysis or data mining. However, the diversity of anomaly detection algorithms shows that it...
Buffer overrun vulnerabilities cause significant security problems, and have proven to be difficult to prevent. In this paper we present a novel approach to tackling the problem...
David Llewellyn-Jones, Madjid Merabti, Qi Shi, Bob...
We propose adaptive nonlinear auto-associative modeling (ANAM) based on Locally Linear Embedding algorithm (LLE) for learning intrinsic principal features of each concept separatel...
While many theoretical arguments against or in favor of open source and closed source software development have been presented, the empirical basis for the assessment of arguments...