Detection of One Dimensional Anomalies Using a Vector-Based Convolutional Autoencoder

Keyphrases

• Vector-based 100%
• Anomaly Detection 100%
• Convolutional Autoencoder 100%
• Linear Autoencoder 50%
• Benchmark Dataset 25%
• Detection Accuracy 25%
• Feature Vector 25%
• Training Phase 25%
• State-of-the-art Techniques 25%
• Low-dimensional Manifolds 25%
• Abnormal Score 25%
• Unsupervised Learning Techniques 25%
• Credit Card Fraud 25%
• Convolutional Neural Network 25%
• Reconstruction Error 25%
• Anomaly Detection System 25%
• Anomaly-based 25%
• Vector Data 25%
• Network Intrusion 25%
• Linear Encoder 25%

Computer Science

• Autoencoder 100%
• Anomaly Detection 80%
• Feature Vector 20%
• Dimensional Manifold 20%
• Detection Method 20%
• Unsupervised Learning 20%
• Convolutional Neural Network 20%
• Reconstruction Error 20%
• Deep Feature 20%
• Training Phase 20%
• Linear Encoders 20%
• Network Intrusion 20%