Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder.
Zhenghao LiuHan ZhangChenyan XiongZhiyuan LiuYu GuXiaohua LiPublished in: CoRR (2022)
Keyphrases
- dimension reduction
- manifold learning
- high dimensional
- principal component analysis
- singular value decomposition
- feature selection
- data mining and machine learning
- random projections
- high dimensionality
- high dimensional data
- feature extraction
- linear discriminant analysis
- variable selection
- high dimensional problems
- knowledge discovery
- image retrieval
- partial least squares
- neural network
- semi supervised
- probabilistic model
- cluster analysis
- feature space
- reinforcement learning
- discriminative information