Interpolated Discretized Embedding of Single Vectors and Vector Pairs for Classification, Metric Learning and Distance Approximation.
Ofir PeleYakir Ben-AlizPublished in: CoRR (2016)
Keyphrases
- metric learning
- distance metric
- distance metric learning
- feature vectors
- vector space
- nearest neighbor classification
- distance function
- pairwise
- mahalanobis distance
- euclidean distance
- distance measure
- feature space
- margin maximization
- machine learning and pattern recognition
- pairwise similarities
- classification accuracy
- support vector
- learning tasks
- machine learning
- nonlinear dimensionality reduction
- text classification
- image classification
- semi supervised
- decision trees
- feature extraction
- neural network
- learning algorithm
- feature selection
- similarity measure
- training set
- kernel matrix
- maximum variance unfolding
- support vector machine
- unsupervised learning
- geodesic distance
- multi class
- multi task
- nearest neighbor
- model selection