Efficient Divide-And-Conquer Classification Based on Feature-Space Decomposition.
Qi GuoBo-Wei ChenFeng JiangXiangyang JiSun-Yuan KungPublished in: CoRR (2015)
Keyphrases
- feature space
- classification accuracy
- feature vectors
- feature extraction
- high dimensionality
- feature selection
- pattern recognition
- training samples
- training set
- support vector machine
- mean shift
- support vector
- dimension reduction
- automatic classification
- decision trees
- classification algorithm
- classification scheme
- image classification
- benchmark datasets
- feature set
- neural network
- text classification
- supervised learning
- machine learning methods
- preprocessing
- mercer kernels
- mercer kernel
- information preserving
- discriminating power
- classification rate
- image processing
- training data
- image retrieval
- data points
- svm classifier
- class labels