Adaptive Latent Feature Sharing for Piecewise Linear Dimensionality Reduction
(2024)
Journal Article
Farooq, A., Raykov, Y., Raykov, P., & Little, M. (2024). Adaptive Latent Feature Sharing for Piecewise Linear Dimensionality Reduction. Journal of Machine Learning Research, 25, Article 135
Linear Gaussian exploratory tools such as principal component analysis (PCA) and factor analysis (FA) are widely used for exploratory analysis, pre-processing, data visualization, and related tasks. Because the linear-Gaussian assumption is restricti... Read More about Adaptive Latent Feature Sharing for Piecewise Linear Dimensionality Reduction.