Noise Stability is Computable and Approximately Low-Dimensional.
Anindya DeElchanan MosselJoe NeemanPublished in: Theory Comput. (2019)
Keyphrases
- low dimensional
- high dimensional
- dimensionality reduction
- manifold learning
- high dimensional data
- input space
- noisy data
- principal component analysis
- noise level
- signal to noise ratio
- nonlinear dimensionality reduction
- noise model
- data sets
- additive noise
- data points
- image noise
- stability analysis
- random noise
- noise reduction
- dimension reduction
- image structure
- input data
- machine learning