A lane change detection approach using feature ranking with maximized predictive power.
Julian SchlechtriemenAndreas WedelJörg HillenbrandGabi BreuelKlaus-Dieter KuhnertPublished in: Intelligent Vehicles Symposium (2014)
Keyphrases
- predictive power
- change detection
- feature ranking
- logistic regression
- feature selection
- fold cross validation
- prediction accuracy
- remote sensing
- remote sensing images
- predictive accuracy
- data streams
- feature subset selection
- detection algorithm
- support vector machine
- image registration
- decision trees
- high dimensionality
- support vector
- classification models
- text categorization
- missing values
- gene selection
- multi layer perceptron
- feature subset
- random forest
- gamma distributions
- text classification
- concept drift
- feature selection algorithms
- neural network
- training data
- pattern recognition
- feature extraction
- semi supervised
- image processing
- image data