Sparse time-frequency distributions based on the $$\ell _1$$ ℓ 1 -norm minimization with the fast intersection of confidence intervals rule.
Ivan VolaricVictor SucicPublished in: Signal Image Video Process. (2019)
Keyphrases
- norm minimization
- confidence intervals
- sparse representation
- sparse coding
- stopping rules
- convex optimization
- signal processing
- sample size
- markov chain
- image classification
- natural images
- test set
- interior point methods
- face recognition
- matrix completion
- unsupervised feature selection
- linear combination
- image representation
- high dimensional
- dimensionality reduction
- roc curve
- high dimensional data
- unsupervised learning
- generative model
- conditional probabilities
- linear programming
- low rank
- denoising
- text classification
- semi supervised
- feature selection