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A two-layer sparse coding model learns simple and complex cell receptive fields and topography from natural images
Independent component analysis Natural images Neural networks Spatial vision
2015/8/10
The classical receptive fields of simple cells in the visual cortex have been shown to emerge from the statistical properties of natural images by forcing the cell responses to be maximally sparse, i....
On the calculation of available potential energy in internal wave fields
available potential energy internal wave fields
2015/6/30
A comparison of three common formulations for calculating the available potential energy (APE) in internal wave fields is presented, namely the perturbation APE, APE1, the exact local APE, APE2, and i...
Subset Selection for Gaussian Markov Random Fields
Subset Selection Gaussian Markov Random Fields
2012/11/26
Given a Gaussian Markov random field, we consider the problem of selecting a subset of variables to observe which minimizes the total expected squared prediction error of the unobserved variables. We ...