Large-scale distance metric learning for k-nearest neighbors regression.
Bac NguyenCarlos MorellBernard De BaetsPublished in: Neurocomputing (2016)
Keyphrases
- k nearest neighbor
- distance metric learning
- knn
- k nearest neighbour
- distance metric
- nearest neighbor classification
- nearest neighbor
- metric learning
- distance function
- semi supervised
- image classification
- support vector machine
- nearest neighbour
- semidefinite programming
- gender classification
- euclidean distance
- neural network
- text classification
- model selection
- nonlinear dimensionality reduction
- image annotation
- data points
- similarity search
- input space
- distance measure
- data mining
- semi supervised learning
- support vector regression
- kernel matrix
- feature vectors
- pairwise
- data sets