A systematical approach to classification problems with feature space heterogeneity.
Hongshan XiaoYu WangPublished in: Kybernetes (2019)
Keyphrases
- feature space
- high dimensional
- kernel function
- high dimensionality
- feature vectors
- classification accuracy
- low dimensional
- data points
- training samples
- input space
- mean shift
- feature extraction
- dimensionality reduction
- principal component analysis
- kernel methods
- image representation
- feature selection
- object recognition
- feature set
- input data
- dissimilarity measure
- high dimensional feature space
- linear discriminant analysis
- dimension reduction
- hyperplane
- dot product
- highly heterogeneous
- support vector machine
- image retrieval
- training set
- pattern recognition
- knowledge base
- search engine
- learning algorithm
- semantic heterogeneity
- canonical correlations
- neural network
- database