IEEE Transactions on Pattern Analysis and Machine Intelligence Journal Issues Research Articles in January 2020 Edition
December 23, 2019
December 23, 2019
PISCATAWAY, New Jersey, Dec. 23 -- IEEE Transactions on Pattern Analysis and Machine Intelligence, a journal from the IEEE Computer Society, published research articles, including the following topics, in its January 2020 edition:
* Approximate Fisher Information Matrix to Characterize the Training of Deep Neural Networks
* Bayesian Neural Networks with Weight Sharing Using Dirichlet Processes
* Cooperative Training of Descriptor and Generator Networks
* Approximate Fisher Information Matrix to Characterize the Training of Deep Neural Networks
* Bayesian Neural Networks with Weight Sharing Using Dirichlet Processes
* Cooperative Training of Descriptor and Generator Networks