Learning to Represent Spatial Transformations with Factored Higher-Order Boltzmann Machines

标题
Learning to Represent Spatial Transformations with Factored Higher-Order Boltzmann Machines
作者
关键词
-
出版物
NEURAL COMPUTATION
Volume 22, Issue 6, Pages 1473-1492
出版商
MIT Press - Journals
发表日期
2010-02-09
DOI
10.1162/neco.2010.01-09-953

向作者/读者发起求助以获取更多资源

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started