Effective classification image space which can solve small sample size problem.
Yu-Jie ZhengJing-Yu YangJian YangXiaojun WuPublished in: ICPR (2) (2006)
Keyphrases
- image space
- d scene
- pattern recognition
- decision trees
- classification algorithm
- classification accuracy
- image classification
- euclidean distance
- text classification
- feature selection
- support vector machine
- feature space
- feature vectors
- training set
- supervised learning
- image intensity
- support vector machine svm
- objective function
- classification method
- support vector
- linear subspace
- class labels
- model selection
- optimal solution
- high quality
- object recognition
- small sample size
- feature subspace