A case study of machine learning hardware: Real-time source separation using Markov Random Fields via sampling-based inference.
Glenn G. KoRob A. RutenbarPublished in: ICASSP (2017)
Keyphrases
- real time
- source separation
- machine learning
- blind source separation
- information extraction
- denoising
- independent component analysis
- image processing
- pattern recognition
- natural language processing
- feature selection
- model selection
- bayesian inference
- single channel
- computer vision
- low level
- text mining
- frequency domain
- simple linear