Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning.
Austin XuAndrew D. McRaeJingyan WangMark A. DavenportAshwin PananjadyPublished in: NeurIPS (2023)
Keyphrases
- metric learning
- low rank
- semi supervised
- kernel matrix
- distance metric
- linear combination
- matrix factorization
- pairwise
- query processing
- learning tasks
- singular value decomposition
- missing data
- semi supervised learning
- kernel learning
- semidefinite programming
- high dimensional data
- dimensionality reduction
- convex optimization
- feature space
- labeled data
- multi task
- high order
- supervised learning
- distance function
- active learning
- manifold learning
- image processing
- data points
- knn
- image segmentation
- least squares
- e learning
- learning algorithm
- pairwise constraints
- data mining