Learning and Inference in Sparse Coding Models with Langevin Dynamics.
Michael Y.-S. FangMayur MudigondaRyan ZarconeAmir KhosrowshahiBruno A. OlshausenPublished in: CoRR (2022)
Keyphrases
- sparse coding
- dictionary learning
- prior knowledge
- learning process
- sparse representation
- unsupervised learning
- learning algorithm
- natural images
- group sparsity
- learning models
- supervised learning
- probabilistic model
- linear combination
- active learning
- learning tasks
- deep belief networks
- single image super resolution
- signal processing
- high dimensional
- object recognition
- high quality
- training data