Applying machine learning based on multiscale classifiers to detect remote phenology patterns in Cerrado savanna trees.
Jurandy AlmeidaJefersson Alex dos SantosBruna AlbertonRicardo da Silva TorresLeonor Patricia C. MorellatoPublished in: Ecol. Informatics (2014)
Keyphrases
- multiscale
- machine learning
- decision trees
- machine learning algorithms
- machine learning methods
- machine learning approaches
- feature selection
- supervised classification
- detection method
- image representation
- naive bayes
- training set
- learning tasks
- learning problems
- image processing
- supervised learning
- edge detection
- classification algorithm
- class labels
- classification models
- randomized trees
- semi supervised learning
- data mining
- data analysis
- real time
- learning algorithm
- image segmentation
- active learning
- multi class
- text mining
- wavelet transform
- data mining techniques
- feature set
- text classification
- discovering interesting
- multiple classifier systems
- land cover
- classification trees
- learning classifier systems
- computer vision
- pattern discovery
- feature extraction
- training data
- scale space
- training samples
- tree structure
- svm classifier
- knowledge discovery