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» Diffusion Runs Low on Persistence Fast
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ICCV
2011
IEEE
12 years 5 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
14 years 3 days 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