Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification.
Yanbiao MaLicheng JiaoFang LiuShuyuan YangXu LiuLingling LiPublished in: CVPR (2023)
Keyphrases
- manifold learning
- dimension reduction
- feature extraction
- feature vectors
- locality preserving projections
- dimensionality reduction
- low dimensional
- locality preserving
- nonlinear dimensionality reduction
- feature set
- pattern recognition
- pattern classification
- subspace learning
- text classification
- semi supervised
- feature mapping
- diffusion maps
- supervised learning
- high dimensional
- support vector
- training set
- feature space
- training data
- head pose estimation
- image classification
- geodesic distance
- laplacian eigenmaps
- high dimensional data
- support vector machine svm
- pairwise
- feature selection
- learning algorithm
- high dimensionality
- data sets
- face recognition
- machine learning