Deep Metric Learning and Image Classification with Nearest Neighbour Gaussian Kernels.
Benjamin J. MeyerBen HarwoodTom DrummondPublished in: ICIP (2018)
Keyphrases
- metric learning
- nearest neighbour
- gaussian kernels
- image classification
- reproducing kernel hilbert space
- feature space
- distance metric
- euclidean distance
- kernel learning
- kernel matrix
- feature extraction
- distance function
- kernel function
- gaussian kernel
- semi supervised
- dimensionality reduction
- knn
- pairwise
- learning tasks
- training set
- high dimensional feature space
- image features
- multi task
- multi label
- k nearest neighbor
- decision trees
- support vector machine
- multiple kernel learning
- euclidean space
- multiple features
- pattern recognition
- convergence rate
- distance measure
- kernel methods
- nearest neighbor
- high dimensional
- multilayer perceptron
- pairwise constraints
- multi class