Value of dimensionality reduction for crop differentiation with multi-temporal imagery and machine learning.
Jason Kane GilbertsonAdriaan Van NiekerkPublished in: Comput. Electron. Agric. (2017)
Keyphrases
- dimensionality reduction
- machine learning
- pattern recognition
- feature selection
- spatio temporal
- high dimensional data
- computer vision
- feature extraction
- structure preserving
- high dimensional
- low dimensional
- image data
- text mining
- learning tasks
- temporal information
- space time
- temporal data
- temporal patterns
- data representation
- text classification
- temporal constraints
- temporal databases
- artificial intelligence
- information extraction
- supervised machine learning
- learning systems
- learning algorithm
- decision trees
- dimensionality reduction methods
- spatial and temporal
- machine learning methods
- natural language processing
- high resolution
- data points
- knowledge representation
- machine learning approaches
- principal component analysis
- computational intelligence
- temporal relations
- metric learning
- temporal reasoning
- manifold learning
- neural network
- supervised learning
- feature space
- computer science
- video sequences
- data mining