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Intro
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Classroom Contents
KDD 2020: Robust Deep Learning Methods for Anomaly Detection
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- 1 Intro
- 2 Anomaly Detection: Video Surveillance.
- 3 Anomaly Detection: By Spectral Techniques
- 4 Anomaly Detection: PCA
- 5 Conventional Anomaly Detection Techniques
- 6 Matrix Factorization Approach: PCA
- 7 Auto-encoders for anomaly detection.
- 8 Comparison: Conventional Anomaly Detection Methods
- 9 Robust (convolution) Auto-Encoders RCAE
- 10 RCAE Vs Robust PCA (1)
- 11 Training RCAE (1)
- 12 Summary of Datasets
- 13 Anomaly Detection: Methods Compared
- 14 Experiment Settings
- 15 Methodology
- 16 Non Inductive: Top anomalous Images Detected USPS : 220 images of '1's, and 11 images of 7 (anomalous)
- 17 Non Inductive Anomaly Detection: Performance
- 18 Image De-noising Capability: RCAE vs RPCA
- 19 Conclusion
