MLF-SC: Incorporating multi-layer features to sparse coding for anomaly detection.
Ryuji ImamuraKohei AzumaAtsushi HanamotoAtsunori KanemuraPublished in: CoRR (2021)
Keyphrases
- anomaly detection
- multi layer
- sparse coding
- unsupervised learning
- image classification
- sparse representation
- feature extraction
- feature space
- natural images
- neural network
- image features
- neural nets
- co occurrence
- linear combination
- generative model
- detect anomalies
- image representation
- semi supervised
- feature vectors
- learning algorithm
- visual words
- object recognition