Fast Low-rank Metric Learning for Large-scale and High-dimensional Data.
Han LiuZhizhong HanYu-Shen LiuMing GuPublished in: CoRR (2019)
Keyphrases
- high dimensional data
- low rank
- metric learning
- dimensionality reduction
- kernel matrix
- low dimensional
- distance metric
- data points
- high dimensional
- nearest neighbor
- manifold structure
- similarity search
- subspace clustering
- semi supervised
- dimension reduction
- original data
- feature space
- pairwise
- manifold learning
- principal component analysis
- input space
- sparse representation
- singular value decomposition
- feature extraction
- data sets
- distance function
- subspace learning
- pattern recognition
- data analysis
- dimensionality reduction methods
- kernel learning
- unsupervised learning
- learning tasks
- euclidean distance
- multi task
- random projections
- machine learning
- text mining
- labeled data
- semi supervised learning
- image processing
- linear combination
- locally linear embedding