Metric Learning for comparison of HMMs using Graph Neural Networks.
Rajan Kumar SoniKarthick SeshadriBalaraman RavindranPublished in: ACML (2021)
Keyphrases
- metric learning
- neural network
- distance metric learning
- distance metric
- pairwise similarities
- hidden markov models
- semi supervised
- learning tasks
- machine learning and pattern recognition
- semi supervised clustering
- pairwise
- multi task
- dimensionality reduction
- distance function
- pattern recognition
- mahalanobis metric
- principal component analysis
- weighted graph
- graph partitioning
- feature space
- data sets
- data points
- graph model
- training set
- computer vision