Acceleration of Large Margin Metric Learning for Nearest Neighbor Classification Using Triplet Mining and Stratified Sampling.
Parisa Abdolrahim PoorheraviBenyamin GhojoghVincent C. GaudetFakhri KarrayMark CrowleyPublished in: CoRR (2020)
Keyphrases
- nearest neighbor classification
- metric learning
- stratified sampling
- distance metric
- distance metric learning
- pairwise
- learning tasks
- semi supervised
- distance function
- multi task
- dimensionality reduction
- feature space
- random sampling
- locally adaptive
- semi supervised learning
- training data
- nearest neighbor
- labeled data
- neural network
- text mining
- data mining
- support vector
- learning algorithm
- data sets
- kernel function
- background knowledge
- euclidean distance
- distance measure
- knn
- training set
- machine learning