Word Embedding Dimension Reduction via Weakly-Supervised Feature Selection.
Jintang XueYun-Cheng WangChengwei WeiC.-C. Jay KuoPublished in: CoRR (2024)
Keyphrases
- dimension reduction
- supervised feature selection
- unsupervised learning
- feature selection
- manifold embedding
- principal component analysis
- high dimensional problems
- feature extraction
- text classification
- manifold learning
- high dimensional
- low dimensional
- dimensionality reduction
- high dimensional data
- vector space
- high dimensionality
- singular value decomposition
- cluster analysis
- machine learning
- feature space
- preprocessing
- object recognition
- linear discriminant analysis
- data mining
- sparse metric learning
- head pose estimation
- data clustering
- semi supervised learning
- feature relevance
- text mining
- semi supervised
- learning algorithm