Automatic fusion and classification using random forests and features extracted with deep learning.
Andreas MerentitisChristian DebesPublished in: IGARSS (2015)
Keyphrases
- random forests
- deep learning
- unsupervised feature learning
- feature set
- decision trees
- random forest
- feature extraction
- feature vectors
- tree ensembles
- machine learning algorithms
- classification accuracy
- feature space
- restricted boltzmann machine
- regression forests
- logistic regression
- unsupervised learning
- benchmark datasets
- training set
- supervised learning
- machine learning
- image features
- support vector machine svm
- class labels
- weak classifiers
- text classification
- multi label
- svm classifier
- multi class
- knn
- pattern recognition
- bayesian networks
- feature selection
- computer vision