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