Jitter-Adaptive Dictionary Learning - Application to Multi-Trial Neuroelectric Signals

16 Jan 2013Sebastian HitzigerMaureen ClercAlexandre GramfortSandrine SailletChristian BénarThéodore Papadopoulo

Dictionary Learning has proven to be a powerful tool for many image processing tasks, where atoms are typically defined on small image patches. As a drawback, the dictionary only encodes basic structures... (read more)

PDF Abstract

Code


No code implementations yet. Submit your code now

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet