I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and Embedding.
Sirisha RambhatlaZhengping CheYan LiuPublished in: AAAI (2022)
Keyphrases
- importance sampling
- distance metric learning
- nonlinear dimensionality reduction
- distance metric
- monte carlo
- metric learning
- manifold learning
- image classification
- kalman filter
- markov chain
- semi supervised
- dimensionality reduction
- high dimensional data
- particle filter
- particle filtering
- semidefinite programming
- gender classification
- low dimensional
- markov chain monte carlo
- distance measure
- learning algorithm
- approximate inference
- posterior distribution
- pairwise
- distance function