Scalable Large-Margin Distance Metric Learning Using Stochastic Gradient Descent.
Bac NguyenCarlos MorellBernard De BaetsPublished in: IEEE Trans. Cybern. (2020)
Keyphrases
- distance metric learning
- stochastic gradient descent
- distance metric
- metric learning
- loss function
- least squares
- image classification
- semi supervised
- matrix factorization
- support vector
- labeled data
- pairwise
- support vector machine
- regularization parameter
- multiple kernel learning
- euclidean distance
- learning algorithm
- similarity measure