University of Cambridge > Talks.cam > Inference Group > Estimating the Pen Trajectories of Handwritten Static Scripts using Hidden Markov Models

  Browse A-Z

Log in

Cambridge users (raven)details Other usersdetails No account?details

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

Estimating the Pen Trajectories of Handwritten Static Scripts using Hidden Markov Models

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact David MacKay.

Static handwritten scripts originate as images on documents and do not, by definition, contain any dynamic information. In this talk, it will be shown how one can estimate dynamic information from handwritten static images by constructing hierarchical hidden Markov models from the images, and matching dynamic training data to the constructed models. The efficacy of our approach is demonstrated with quantitative results and some practical examples.

This talk is part of the Inference Group series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

HEP phenomenology joint Cavendish-DAMTP seminar Cambridge Geotechnical Society Seminar Series

Other talks

Cambridge - Corporate Finance Theory Symposium September 2017 - Day 2 Structurally unravelling ATP synthase The Move of Economics Ideas and Numbers into Policy Real Time Tomography X-Ray Imaging System - Geometry Calibration by Optimisation Identifying new gene regulating networks in immune cells Cambridge-Lausanne Workshop 2018 - Day 2 Refugees and Migration Liver Regeneration in the Damaged Liver Picturing the Heart in 2020 The Gopakumar-Vafa conjecture for symplectic manifolds Why does cardiac function deteriorate in heart failure and how does phosphodiesterase 5 inhibition help?
 

© 2006-2024 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity