High-dimensional Inference via Lipschitz Sparsity-Yielding Regularizers.
Zheng PanChangshui ZhangPublished in: AISTATS (2013)
Keyphrases
- high dimensional
- metric space
- low dimensional
- high dimensionality
- sparse data
- data points
- feature space
- dimensionality reduction
- multi dimensional
- similarity search
- variable selection
- nearest neighbor
- bayesian inference
- noisy data
- linear combination
- high dimensional problems
- pointwise
- high dimensional spaces
- inference process
- optic flow
- dimension reduction
- kernel function
- bayesian networks
- image processing