Supervised Feature Space Reduction for Multi-Label Nearest Neighbors.
Wissam SibliniRéda AlamiFrank MeyerPascale KuntzPublished in: IEA/AIE (1) (2017)
Keyphrases
- multi label
- nearest neighbor
- feature space
- data points
- text categorization
- training set
- multi label classification
- k nearest neighbor
- graph cuts
- label space
- high dimensional
- image classification
- feature selection
- knn
- feature selections
- text classification
- image annotation
- multi label learning
- class labels
- supervised learning
- binary classification
- semi supervised
- high dimensional data
- feature vectors
- input space
- image representation
- high dimensionality
- dimensionality reduction
- multi instance
- support vector machine
- classification accuracy
- multiple labels
- kernel function
- feature extraction
- principal component analysis
- decision boundary
- training samples
- low dimensional
- semi supervised learning
- labeled data
- image retrieval
- feature set
- learning algorithm
- max margin
- machine learning
- protein function prediction
- data analysis
- unsupervised learning
- small number
- hyperplane
- support vector
- visual features
- neural network
- higher order
- multi class
- label assignment
- information extraction