Local covariance matrices
Type: Concept
As of November 2026, Local covariance matrices has been mentioned in one podcast episode on ICLR (May 2015). Used to parameterize the local structure in an image for synthesis experiments.
| Mentioned in | 1 episode on 1 podcast (as of November 2026) |
|---|---|
| First heard | May 2015 on ICLR |
| Field | Computer Vision |
Who talks about Local covariance matrices on podcasts?
Local covariance matrices came up; the most recent mention was May 2015 on ICLR.
- ICLR2015-olivier-henaff on ICLR (May 2015)
What is Local covariance matrices mentioned alongside?
Local covariance matrices is most often mentioned alongside Fourier space, Nuclear norm and Gradient Descent.
Mentioned together: Fourier space, Nuclear norm, Gradient Descent, Natural Images, Synthesis procedure, Unsupervised learning problem, Gaussian scale mixture, Wavelet decomposition, Local low dimensionality, Hierarchical representation