On The Effectiveness of Active Learning by Uncertainty Sampling in Classification of High-Dimensional Gaussian Mixture Data.
Xiaoyi MaiSalman AvestimehrAntonio OrtegaMahdi SoltanolkotabiPublished in: ICASSP (2022)
Keyphrases
- active learning
- high dimensional
- data sets
- gaussian mixture
- data points
- probability distribution
- high dimensional data
- training examples
- feature extraction
- feature space
- classification accuracy
- support vector
- training data
- low dimensional
- mixture model
- training samples
- machine learning
- experimental design
- density estimation
- high dimensionality
- similarity search
- statistical analysis
- unsupervised learning
- image classification
- supervised learning
- objective function