Novelty detection using products of simple experts - a potential architecture for embedded systems

Novelty detection aims at reducing redundant information from a chronologically ordered list of documents or sentences. Other studies of novelty detection have been conducted on the English language, but few papers have addressed the problem of ...

As one of state-of-the-art supervised novelty detection models, support vector machine-supervised novelty detection (SVM-SND) can recognize whether a test instance is a novelty or which class the test instance comes from if it is a ...

Novelty detection is especially important for monitoring safety-critical systems in which novel conditions rarely occur and knowledge about novelty in that system is often limited or unavailable. There are a large number of studies in the area of ...