We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a semisupervised manner: the model is learnt from example ...
It is generally agreed that two key points always attract special concerns during the modelling of anomaly-based intrusion detection. One is the techniques about discerning two cl...
Abstract. In the present article a framework for the robust detection of mobile robots using nested cascades of boosted classifiers is proposed. The boosted classifiers are trained...
Abstract—We consider a certain class of large random matrices, composed of independent column vectors with zero mean and different covariance matrices, and derive asymptotically ...
Recently there has been an upsurge of interest in both, Search– Based Software Testing (SBST), and Dynamic Symbolic Execution (DSE). Each of these two approaches has complementar...
Kiran Lakhotia, Nikolai Tillmann, Mark Harman, Jon...