Robust metric learning based on subspace learning with lp-norm.
Yidan WangChao YuanLiming YangPublished in: Signal Process. (2022)
Keyphrases
- metric learning
- subspace learning
- dimensionality reduction
- semi supervised
- distance metric learning
- distance metric
- high dimensional data
- pairwise
- manifold learning
- principal component analysis
- sparse coding
- learning tasks
- low dimensional
- high dimensional
- multi task
- feature space
- distance function
- data representation
- feature selection
- unsupervised learning
- learning algorithm
- data points
- appearance modeling
- semi supervised learning
- feature extraction
- training data
- multiscale
- sparse representation
- dimension reduction
- pattern recognition
- learning problems
- small number
- image classification
- multiple features
- multiple kernel learning
- face recognition
- natural images