Computing Trajectory Similarity in Linear Time: A Generic Seed-Guided Neural Metric Learning Approach.
Di YaoGao CongChao ZhangJingping BiPublished in: ICDE (2019)
Keyphrases
- metric learning
- distance metric
- distance function
- nearest neighbor classification
- distance metric learning
- pairwise similarities
- machine learning and pattern recognition
- euclidean distance
- positive semi definite
- pairwise
- dimensionality reduction
- distance measure
- learning tasks
- semi supervised
- multi task
- feature space
- similarity function
- neural network
- similarity search
- similarity measure
- mahalanobis metric
- subject to linear constraints
- nearest neighbor
- pattern recognition
- knn
- learning algorithm