Sciweavers

2 search results - page 1 / 1
» Diffusion Runs Low on Persistence Fast
Sort
View
ICCV
2011
IEEE
12 years 4 months ago
Diffusion Runs Low on Persistence Fast
Interpreting an image as a function on a compact subset of the Euclidean plane, we get its scale-space by diffusion, spreading the image over the entire plane. This generates a 1-...
Chao Chen, Herbert Edelsbrunner
ICML
2009
IEEE
13 years 11 months ago
Using fast weights to improve persistent contrastive divergence
The most commonly used learning algorithm for restricted Boltzmann machines is contrastive divergence which starts a Markov chain at a data point and runs the chain for only a few...
Tijmen Tieleman, Geoffrey E. Hinton