Sample-Dependent Distance for 1: N Identification via Discriminative Feature Selection.
Naoki KawamuraSusumu KubotaPublished in: ICPR (2020)
Keyphrases
- feature selection
- discriminative features
- small sample
- feature extraction
- euclidean distance
- text classification
- distance measure
- feature space
- classification accuracy
- distance metric
- multi class
- informative features
- mutual information
- support vector
- information gain
- sample size
- support vector machine
- feature subset
- high dimensionality
- model selection
- microarray data
- distance transform
- unsupervised learning
- selected features
- unsupervised feature selection
- class separability
- machine learning
- classification models
- feature ranking
- active learning
- bayesian network classifiers
- irrelevant features
- semi supervised