Human-in-the-loop differential subspace search in high-dimensional latent space.
Chia-Hsing ChiuYuki KoyamaYu-Chi LaiTakeo IgarashiYonghao YuePublished in: ACM Trans. Graph. (2020)
Keyphrases
- high dimensional
- low dimensional
- latent space
- lower dimensional
- dimensionality reduction
- low dimensional spaces
- high dimensional data
- feature space
- search algorithm
- manifold learning
- data points
- high dimensional spaces
- search space
- high dimensionality
- parameter space
- dimension reduction
- gaussian process latent variable models
- subspace clustering
- euclidean space
- generative model
- multi dimensional
- principal component analysis
- similarity search
- data sets
- random projections
- pattern recognition
- feature extraction
- feature selection