Deep point-to-subspace metric learning for sketch-based 3D shape retrieval.
Yinjie LeiZiqin ZhouPingping ZhangYulan GuoZijun MaLingqiao LiuPublished in: Pattern Recognit. (2019)
Keyphrases
- metric learning
- comparative evaluation
- dimensionality reduction
- distance metric learning
- feature space
- distance metric
- shape retrieval
- semi supervised
- learning tasks
- kernel matrix
- machine learning and pattern recognition
- multi task
- pairwise
- distance function
- low dimensional
- mahalanobis metric
- principal component analysis
- high dimensional data
- high dimensional
- shape matching
- semi supervised learning
- data analysis
- d objects
- subject to linear constraints
- machine learning
- shape descriptors
- learning problems
- image classification
- multi class
- training data
- similarity measure