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論文紹介 Anomaly Detection using One-Class Neural Networks (修正版

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教師無し異常検知手法であるOne Class Neural Networks (OC-NN)をかいつまんで紹介

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論文紹介 Anomaly Detection using One-Class Neural Networks (修正版

  1. 1. :ANOMALY DETECTION USING ONE-CLASS NEURAL NETWORKS Katsuki Ohto @ NN #7 2018/11/5
  2. 2. 
 
 
 

  3. 3. 
 http://meuse.co.jp/column/ %E3%82%B9%E3%82%BF%E3%83%B3%E3%83%95%E3%82%A9%E3%83%BC%E3%83%89%E3%81%AE%E6%A9%9F%E6%A2%B0%E5%AD%A6%E7%BF%92%E8%AC%9B%E5%BA% A7%E3%80%80%E7%AC%AC9%E9%80%B1%E3%80%80%E7%95%B0%E5%B8%B8%E6%A4%9C%E7%9F%A5/
  4. 4. SVM 
 One Class SVM 
 
 One Class Neural Network (OC-NN)
  5. 5. :SVM One Class Support Vector Machine (OC-SVM)
 
 
 positive 
 negative 

  6. 6. :SVM 2 
 
 https://medium.com/deep-math-machine-learning-ai/chapter-3-support-vector- machine-with-math-47d6193c82be
  7. 7. :OC-SVM One Class Support Vector Machine (OC-SVM)
 
 
 N X Φ 
 Φ w → 
 w
  8. 8. OC-SVM One Class Support Vector Machine (OC-SVM)
 w → negative 
 positive ν
  9. 9. : OC-NN One Class Neural Network (OC-NN)
 OC-SVM : 1. 
 2. OC-SVM
  10. 10. OC-NN OC-D-SVDD OC-NN
 
 OC-Deep SVDD ( OC )
 
 
 
 OC-NN SVM
  11. 11. OC-NN : w,V r 
 w,V Back Propagation 
 r : NN quantile
  12. 12. Synthetic DataSets MNIST, CIFAR-10, USPS ... Convolution AE PFAM : ... LSTM AE 
 → Activation: Linear, Sigmoid, Relu
  13. 13. PFAM normal anomaly
  14. 14. PFAM AUROC (Area Under ROC Curve)
  15. 15. 
 OC-NN T-SNE
  16. 16. :
 DNN Robust Deep AutoEncoder
 
 X L S 


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