Novelty detection using products of simple experts--a potential architecture for embedded systems.
The 'Product of Experts' architecture (concentrating on binary-stochastic elements) is described in the context of its suitability for implementation as mixed-mode hardware, with algorithmic modifications that render the training procedure hardware-implementable. Results show that the PoE is capable of modelling non-linear, multi-dimensional data drawn from both artificial and real sources. The capability of the PoE to perform on-line novelty detection is described and demonstrated on both artificial and real data.
Murray
A F
AF
Department of Electronics and Electrical Engineering, University of Edinburgh, Scotland, UK. a.f.murray@ee.ed.ac.uk
D000465:Algorithms; D016571:Neural Networks, Computer; D017711:Nonlinear Dynamics; D012815:Signal Processing, Computer-Assisted; D013223:Statistics as Topic / Q000379:methods; D013269:Stochastic Processes