Learning Sparse Topographic Representations with Products of Student-t Distributions
Welling, Max, Osindero, Simon, Hinton, Geoffrey E.
–Neural Information Processing Systems
We propose a model for natural images in which the probability of an image isproportional to the product of the probabilities of some filter outputs. Weencourage the system to find sparse features by using a Studentt distribution to model each filter output.
Neural Information Processing Systems
Dec-31-2003