An Information Geometry-Based Distance Between High-Dimensional Covariances for Scalable Classification.
Qilong WangXiaoxiao LuPeihua LiZhenguo GaoYongri PiaoPublished in: IEEE Trans. Circuits Syst. Video Technol. (2018)
Keyphrases
- high dimensional
- support vector
- feature space
- classification accuracy
- decision trees
- training samples
- feature extraction
- training set
- data points
- dimension reduction
- information geometry
- euclidean distance
- sample size
- distance function
- similarity search
- model selection
- distance measure
- dimensionality reduction
- nearest neighbor
- multi class
- feature vectors