Some of the material in is restricted to members of the community. By logging in, you may be able to gain additional access to certain collections or items. If you have questions about access or logging in, please use the form on the Contact Page.
Systems and methods for training an active random field for real-time image denoising. (2014). Systems and methods for training an active random field for real-time image denoising. Retrieved from http://purl.flvc.org/fsu/fd/FSU_uspto_8866936
An Active Random Field is presented, in which a Markov Random Field (MRF) or a Conditional Random Field (CRF) is trained together with a fast inference algorithm using pairs of input and desired output and a benchmark error measure.
Systems and methods for training an active random field for real-time image denoising. (2014). Systems and methods for training an active random field for real-time image denoising. Retrieved from http://purl.flvc.org/fsu/fd/FSU_uspto_8866936