Spatiotemporal Pattern Recognition and Nonlinear PCA for Global Horizontal Irradiance Forecasting.
Giorgio LicciardiR. DambrevilleJocelyn ChanussotStéphanie DubostPublished in: IEEE Geosci. Remote. Sens. Lett. (2015)
Keyphrases
- pattern recognition
- dimensionality reduction
- principal component analysis
- kernel pca
- feature extraction
- spatial and temporal
- image processing
- signal processing
- principal components
- computer vision
- kernel principal component analysis
- space time
- linear dimensionality reduction
- image analysis
- neural network
- fuzzy sets
- face recognition
- principle component analysis
- short term
- linear discriminant analysis
- machine learning
- subspace methods
- weather forecasting
- illumination conditions
- pattern classification
- dimension reduction
- support vector machine svm
- low dimensional
- long term
- feature space