Massive feature extraction for explaining and foretelling hydroclimatic time series forecastability at the global scale.
Georgia PapacharalampousHristos TyralisIlias G. PechlivanidisSalvatore GrimaldiElena VolpiPublished in: CoRR (2021)
Keyphrases
- global scale
- feature extraction
- dimension reduction
- discriminant analysis
- image classification
- feature vectors
- principal component analysis
- feature extractors
- preprocessing
- image preprocessing
- dynamic time warping
- frequency domain
- stock market
- face recognition
- weather forecasting
- wavelet transform
- multivariate time series
- image processing
- linear feature extraction
- pattern classification
- massive data sets
- non stationary
- support vector machine svm
- pattern recognition
- chronic hepatitis
- feature extractor
- learning algorithm
- feature extraction and classification
- low level feature extraction
- moving average
- defect detection
- feature representation
- stock price
- autoregressive
- texture classification
- texture analysis
- data analysis
- feature selection