Using Machine Learning to Predict Noise-induced Annoyance.
Huan ZhouHaiyan ShuYing SongPublished in: TENCON (2018)
Keyphrases
- machine learning
- noise level
- machine learning methods
- noisy data
- signal to noise ratio
- machine learning algorithms
- data mining
- artificial intelligence
- sensor noise
- feature selection
- additive noise
- random noise
- learning algorithm
- noisy environments
- predicting future
- noise sensitivity
- database
- computer vision
- pattern recognition
- active learning
- inductive learning
- neural network
- information retrieval
- low snr
- image sequences
- image noise
- computer science
- data analysis
- model selection
- image structure
- noise reduction
- knowledge representation
- kernel methods
- statistical methods
- knowledge discovery
- missing data
- text classification