Can I read Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image Generation on EtoBox?

Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image Generation by Berger-Wolf, Tanya; Chawla, Nitesh is a scholarly article available to read on EtoBox.

What is Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image Generation about?

Data Mining Is An Important Tool In Science, Engineering, Industrial Processes, Healthcare, Business, And Medicine. The Datasets In These Fields Are Large, Complex, And Often Noisy. Extracting Knowledge Requires The Use Of Sophisticated, High Performance And Principled Analysis Techniques And Algorithms, Based On Sound Theoretical And Statistical Foundations. These Techniques In Turn Require Implementations That Are Carefully Tuned For Performance; Powerful Visualization Technologies; Interface Systems That Are Usable By Scientists, Engineers, And Physicians As Well As Researchers; And Infrastructures That Support Them. This Conference Provides A Venue For Researchers Who Are Addressing These Problems To Present Their Work In A Peer-reviewed Forum. It Also Provides An Ideal Setting For Graduate Students And Others New To The Field To Learn About Cutting-edge Research By Hearing Outstanding Invited Speakers And Attending Presentations And Tutorials (included With Conference Registration). A Set Of Focused Workshops Are Also Held On The Last Day Of The Conference. The Proceedings Of The Conference Arepublished In Archival Form, And Are Also Made Available On The Siam Web Site.

Author

Berger-Wolf, Tanya; Chawla, Nitesh

Publisher

Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104)

Published

2019

Language

EN

ISBN

9781611975673