Abstract Sensor devices produce data that are unreliable, low-level, and seldom able to be used directly by applications. In this paper, we propose Metaphysical Data Independence (...
Shawn R. Jeffery, Michael J. Franklin, Minos N. Ga...
Independent component analysis (ICA) has been applied in many fields of signal processing and many ICA learning algorithms have been proposed from different perspectives. However...
Particle filters (PF) and auxiliary particle filters (APF) are widely used sequential Monte Carlo (SMC) techniques. In this paper we comparatively analyse the Sampling Importanc...
Traditional methods for creating classifiers have two main disadvantages. Firstly, it is time consuming to acquire, or manually annotate, the training collection. Secondly, the da...
For many applications—including recognizing malware variants, determining the range of system versions vulnerable to a given attack, testing defense mechanisms, and filtering m...
Weidong Cui, Vern Paxson, Nicholas Weaver, Randy H...