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» Diffusion Runs Low on Persistence Fast
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ICCV
2011
IEEE
14 years 3 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
141
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ICML
2009
IEEE
15 years 10 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