Learning and Inference in Sparse Coding Models With Langevin Dynamics.
Michael Y.-S. FangMayur MudigondaRyan ZarconeAmir KhosrowshahiBruno A. OlshausenPublished in: Neural Comput. (2022)
Keyphrases
- sparse coding
- dictionary learning
- unsupervised learning
- prior knowledge
- deep belief networks
- learning process
- learning algorithm
- supervised learning
- computer vision
- group sparsity
- feature extraction
- image classification
- natural images
- generative model
- linear combination
- sparse representation
- single image super resolution
- ground truth
- knn
- feature space
- reinforcement learning
- visual recognition
- high quality
- sparse codes