Machine learning approches and pattern recognition for spectral data.
Thomas VillmannErzsébet MerényiUdo SeiffertPublished in: ESANN (2008)
Keyphrases
- pattern recognition
- spectral data
- machine learning
- principal components
- partial least squares
- hyperspectral
- proteomic data
- image analysis
- computer vision
- signal processing
- image processing
- neural network
- feature selection
- dimensionality reduction
- hyperspectral images
- model selection
- data mining
- remote sensing
- feature extraction
- decision trees
- learning algorithm
- correlation coefficient
- supervised learning
- mass spectrometry