Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction.
Kwang In KimFlorian SteinkeMatthias HeinPublished in: NIPS (2009)
Keyphrases
- semi supervised dimensionality reduction
- semi supervised
- semi supervised learning
- labeled data
- regression model
- active learning
- graph embedding
- supervised learning
- dimensionality reduction
- unsupervised learning
- unlabeled data
- pairwise
- metric learning
- generative model
- label information
- manifold learning
- learning algorithm
- pattern recognition and machine learning
- pairwise constraints
- co training
- support vector
- machine learning
- text mining
- prior knowledge