Dynamics-Aware Metric Embedding: Metric Learning in a Latent Space for Visual Planning.
Mineui HongKyungjae LeeMinjae KangWonsuhk JungSonghwai OhPublished in: IEEE Robotics Autom. Lett. (2022)
Keyphrases
- latent space
- metric learning
- distance metric
- dimensionality reduction
- gaussian process latent variable models
- feature space
- low dimensional
- euclidean distance
- mahalanobis metric
- semi supervised
- distance function
- latent variables
- distance measure
- gaussian process
- data points
- gaussian processes
- multi task
- manifold learning
- lower dimensional
- high dimensional
- manifold structure
- generative model
- visual features
- high dimensional data
- transfer learning
- learning tasks
- pairwise
- laplacian eigenmaps
- feature extraction
- pattern recognition
- parameter space
- similarity measure
- prior knowledge
- multi class
- sparse representation
- semi supervised learning
- maximum likelihood
- co occurrence