DORA: Exploring outlier representations in Deep Neural Networks.
Kirill BykovMayukh DebDennis GrinwaldKlaus-Robert MüllerMarina M.-C. HöhnePublished in: CoRR (2022)
Keyphrases
- neural network
- pattern recognition
- outlier detection
- deep belief networks
- artificial neural networks
- neural network model
- fuzzy logic
- symbolic knowledge
- distributed representations
- deep learning
- network architecture
- fault diagnosis
- back propagation
- unsupervised learning
- higher level
- feed forward
- neural nets
- artificial intelligence
- training algorithm
- feedforward neural networks
- real time
- data mining
- information retrieval
- restricted boltzmann machine
- competitive learning
- novelty detection
- representation scheme
- symbolic representation
- case study
- training process
- associative memory
- recurrent neural networks
- data streams
- self organizing maps