Classification of binary vectors by using SC distance to minimize stochastic complexity.
Pasi FräntiMantao XuIsmo KärkkäinenPublished in: Pattern Recognit. Lett. (2003)
Keyphrases
- binary vectors
- pattern recognition
- classification accuracy
- distance measurement
- machine learning
- support vector
- feature vectors
- binary features
- computational complexity
- feature space
- feature extraction
- euclidean distance
- classification method
- decision trees
- supervised learning
- image classification
- model selection
- texture analysis
- information retrieval