High-dimensional Asymptotics of Denoising Autoencoders.
Hugo CuiLenka ZdeborováPublished in: CoRR (2023)
Keyphrases
- denoising
- high dimensional
- image denoising
- natural images
- image processing
- noisy images
- total variation
- data points
- wavelet domain
- dimensionality reduction
- denoising algorithm
- nearest neighbor
- noise removal
- similarity search
- high dimensionality
- sparse data
- sufficient conditions
- parameter space
- variable selection
- markov chain
- high dimensional data
- gaussian noise
- feature space
- high dimensional problems
- noisy data
- low dimensional
- graphical models
- multiscale
- denoising methods
- multi dimensional
- microarray data
- unsupervised learning
- large deviations
- object recognition
- wavelet denoising
- wavelet based denoising