MultiResolution Complexity Analysis - A Novel Method for Partitioning Datasets into Regions of Different Classification Complexity.
Giuliano ArmanoEmanuele TamponiPublished in: ICPRAM (1) (2015)
Keyphrases
- complexity analysis
- classification method
- multiresolution
- theoretical analysis
- detection method
- preprocessing
- support vector machine svm
- pattern classification
- computational complexity
- classification accuracy
- classification algorithm
- image classification
- support vector machine
- similarity measure
- region of interest
- machine learning methods
- decision trees
- classification process
- discriminating features
- cross validation
- image regions
- classification scheme
- data sets
- clustering method
- model selection
- training data
- class labels
- segmentation algorithm
- training samples
- feature set
- support vector
- classification rate
- feature selection
- learning algorithm
- experimental results on real world
- neural network