Unsupervised energy disaggregation via convolutional sparse coding.
Christian AarsetAndreas HabringMartin HollerMario MitterPublished in: CoRR (2022)
Keyphrases
- sparse coding
- unsupervised learning
- energy saving
- deep belief networks
- dictionary learning
- natural images
- sparse representation
- energy consumption
- image classification
- discriminative power
- linear combination
- supervised learning
- generative model
- image representation
- image patches
- semi supervised
- person re identification
- feature space
- model selection
- sparse codes
- deep learning
- data sets
- object category recognition
- text classification
- machine learning
- expectation maximization
- higher order
- object detection
- active learning
- high dimensional
- pattern recognition
- single image super resolution
- feature selection