Partially-Supervised Metric Learning via Dimensionality Reduction of Text Embeddings Using Transformer Encoders and Attention Mechanisms.
Ryan HodgsonJingyun WangAlexandra I. CristeaJohn GrahamPublished in: IEEE Access (2024)
Keyphrases
- metric learning
- dimensionality reduction
- partially supervised
- multi instance
- low dimensional
- manifold learning
- high dimensional data
- principal component analysis
- multi class
- feature selection
- high dimensional
- feature space
- linear discriminant analysis
- pattern recognition
- unsupervised learning
- euclidean distance
- data points
- kernel matrix
- text mining
- feature extraction
- pairwise
- distance metric
- information retrieval
- text documents
- kernel learning
- face recognition
- data mining
- nonlinear dimensionality reduction
- machine learning
- kernel pca
- text data
- computer vision
- knowledge base
- neural network
- learning tasks
- vector space
- similarity measure
- knowledge discovery
- nearest neighbor