One-class kernel subspace ensemble for medical image classification.
Yungang ZhangBailing ZhangFrans CoenenJimin XiaoWenjin LuPublished in: EURASIP J. Adv. Signal Process. (2014)
Keyphrases
- image classification
- spatial pyramid
- kernel based nonlinear
- feature space
- feature extraction
- kernel space
- image representation
- bag of words
- kernel pca
- subspace methods
- kernel function
- image features
- hilbert space
- low dimensional
- kernel methods
- ensemble methods
- medical diagnosis
- spatial pyramid matching
- subspace learning
- multi label
- ensemble learning
- discriminant subspace
- learning algorithm
- visual words
- classifier ensemble
- neural network
- feature selection
- positive semi definite
- support vector
- linear subspace
- principal components
- subspace clustering
- svm classification
- prediction accuracy
- training data
- training set
- kernel trick
- multiple kernel learning
- dimensionality reduction
- sparse coding
- lower dimensional
- medical images
- principal component analysis
- medical domain
- medical data
- canonical correlations
- high dimensional data
- class specific
- sparse representation