Supervised Metric Learning for Retrieval via Contextual Similarity Optimization.
Christopher LiaoTheodoros TsiligkaridisBrian KulisPublished in: CoRR (2022)
Keyphrases
- metric learning
- distance metric
- semi supervised
- distance function
- distance metric learning
- semi definite programming
- nearest neighbor classification
- pairwise
- pairwise similarities
- multi task
- subject to linear constraints
- feature space
- information retrieval
- euclidean distance
- machine learning and pattern recognition
- learning tasks
- distance measure
- contextual information
- mahalanobis metric
- unsupervised learning
- dimensionality reduction
- image retrieval
- similarity function
- learning algorithm
- supervised learning
- neural network
- similarity measure
- data points
- labeled data
- similarity search
- active learning
- weakly supervised
- unlabeled data
- semi supervised learning