Supervised learning of low-rank transforms for image retrieval.
Cagdas BilenJoaquin ZepedaPatrick PérezPublished in: ICIP (2016)
Keyphrases
- low rank
- supervised learning
- image retrieval
- semi supervised
- missing data
- linear combination
- convex optimization
- matrix completion
- matrix factorization
- low rank matrix
- singular value decomposition
- rank minimization
- unsupervised learning
- high order
- matrix decomposition
- active learning
- training data
- kernel matrix
- learning problems
- labeled data
- learning algorithm
- learning tasks
- reinforcement learning
- training set
- high dimensional data
- class labels
- machine learning
- low rank matrices
- minimization problems
- robust principal component analysis
- non rigid structure from motion
- data sets
- singular values
- image representation
- small number
- pairwise
- data mining
- learning process
- computer vision