Statistical Signal Processing for Novelty Detection

  title={Statistical Signal Processing for Novelty Detection},
  author={Radu Balan and Justinian P. Rosca and Paul Bogdan},
The goal of this article is to investigate and suggest techniques for health condition monitoring and diagnosis using machine learning from sensor data. In particular, this arti cle overview and discusses support vector machines methods such as hard margin and soft margin problems. In order to investigate the abnormalities and classify a large se t of data an iterative Support Vector Machine algorithm was constructed. However, similar techniques could be applied to analyze or monitor for… CONTINUE READING
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Bennet - A Linear Programming Approach to Novelty Detection

  • Colin Cambell, P Kristin
  • Neural Information Processing Systems,
  • 2000
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