Robust Covariance Representations With Large Margin Dimensionality Reduction for Visual Classification.
Qiule SunJianxin ZhangPengfei ZhuQilong WangPeihua LiPublished in: IEEE Access (2018)
Keyphrases
- dimensionality reduction
- visual classification
- image classification
- principal components
- low dimensional
- support vector
- principal component analysis
- scene classification
- linear classifiers
- machine learning
- high dimensional data
- distance measure
- dimensionality reduction methods
- visual recognition
- input space
- co occurrence
- data points
- high dimensional
- feature space
- pattern recognition
- feature extraction
- learning algorithm