Unsupervised Deep Learning-based clustering for Human Activity Recognition.
Hamza AmraniDaniela MicucciPaolo NapoletanoPublished in: ICCE-Berlin (2022)
Keyphrases
- deep learning
- unsupervised learning
- human activity recognition
- activity recognition
- deep architectures
- unsupervised feature learning
- supervised learning
- restricted boltzmann machine
- weakly supervised
- human activities
- semi supervised
- dimensionality reduction
- deep belief networks
- feature selection
- semi supervised learning
- clustering algorithm
- machine learning
- expectation maximization
- reinforcement learning
- data streams
- named entities
- gaussian mixture model
- object recognition
- natural language processing
- high dimensional