This page requires that JavaScript be enabled in your browser.
Learn how »
Handwriting Recognition and Analysis
Mikayel Egibyan
In this presentation, Mikayel Egibyan talks about the history and techniques used for handwriting recognition and analysis and demonstrates some solutions using neural networks trained on handwritten datasets. He also shows real-life application examples in various domains, such as signature validation, writer identification and more.
Thanks for your feedback.
Channels: Technology Conference
1311 videos match your search.
|
Shadi Ashnai Learn to modify audio signals using audio effects, including delay and reverberation.
Notebook link: https://wolfr.am/OKVe1Ef9 |
|
Carlo Giacometti Generate audio signals, from simple built-in models to a variety of complex signals. |
|
Carlo Giacometti Learn about a suite of audio analysis and visualization functions available in the Wolfram Language. |
|
Ralph Blanes & Sarthak Srinivas A student hackathon project presentation featuring modules for music improvisation and artificial intelligence. |
|
Samir Sayegh |
|
Andrew Steinacher |
|
David Stoutemyer |
|
Jakub Kabala |
|
Shadi Ashnai |
|
Jose Martin-Garcia |
|
Gerald Thomas |
|
Pedro Fonseca |
|
Devendra Kapadia & Oliver Reubenkoenig |
|
Philip Maymin |
|
Bryan Minor |
|
Anton Antonov |
|
Mark Kotanchek |
|
Jeff Bryant & Keiko Hirayama |
|
Michael Sollami |
|
Kyle Keane & George Varnavides |