Review of novelty detection methods
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[1] Teuvo Kohonen,et al. Self-Organizing Maps , 2010 .
[2] Bernhard Schölkopf,et al. Support Vector Method for Novelty Detection , 1999, NIPS.
[3] J. Anstey,et al. Discovering Novelty in Time Series Data , 2005 .
[4] Silvio Romero de Lemos Meira,et al. Combining MLP and RBF Neural Networks for Novelty Detection in Short Time Series , 2004, MICAI.
[5] Jean Rouat,et al. A Novelty Detector Using a Network of Integrate and Fire Neurons , 1997, ICANN.
[6] Robert J. Schalkoff,et al. Pattern recognition - statistical, structural and neural approaches , 1991 .
[7] Sungzoon Cho,et al. Analysis of Novelty Detection Properties of Autoassociative MLP , 2002 .
[8] Hoon Sohn,et al. Novelty Detection Using Auto-Associative Neural Network , 2001, Dynamic Systems and Control.
[9] D. Martinez,et al. Neural tree density estimation for novelty detection , 1998, IEEE Trans. Neural Networks.
[10] F. Hoppensteadt,et al. Oscillatory model of novelty detection , 2001, Network.
[11] Zoubin Ghahramani,et al. Learning Dynamic Bayesian Networks , 1997, Summer School on Neural Networks.
[12] David A. Clifton,et al. Aircraft engine health monitoring using density modelling and extreme value statistics , 2009 .
[13] David A. Clifton,et al. High-dimensional visualisation for novelty detection , 2008 .
[14] VARUN CHANDOLA,et al. Outlier Detection : A Survey , 2007 .
[15] S. Marsland. Novelty Detection in Learning Systems , 2008 .
[16] Stephen Grossberg,et al. Adaptive Resonance Theory , 2010, Encyclopedia of Machine Learning.
[17] Benjamin A. Rowland,et al. Spatiotemporal Novelty Detection Using Resonance Networks , 2004, FLAIRS.