posted by user: terry0201 || 13755 views || tracked by 14 users: [display]

DCC 2017 : Data Compression Conference

FacebookTwitterLinkedInGoogle


Conference Series : Data Compression Conference
 
Link: http://www.cs.brandeis.edu/~dcc/index.html
 
When Apr 4, 2017 - Apr 7, 2017
Where Utah, U.S.
Submission Deadline TBD
Categories    data compression
 

Call For Papers

The Data Compression Conference (DCC) is an international forum for current work on data compression and related applications.

Compression of specific types of data (text, images, video, etc.).
Compression in networking, communications, and storage.
Transform based compression methods.
Applications to bioinformatics.
Applications to mobile computing.
Applications to information retrieval.
Computational issues for compression related applications.
Error resilient compression algorithms.
Joint source-channel coding.
The use of techniques from information theory.
Compression related standards.

DCC 2017
Cliff Lodge, Snowbird, UT
Conference: Tuesday - Friday, April 4-7, 2017
Registration reception: Tuesday evening April 4
Presentations begin on Wednesday, April 5
(Easter Sunday is April 16, 2017; Passover starts April 10-18, 2017)

Related Resources

DATA 2026   15th International Conference on Data Science, Technology and Applications
DATA ANALYTICS 2026   The Fifteenth International Conference on Data Analytics
MIDAS 2026   The 11th Workshop on MIning DAta for financial applicationS
AICS 2026   The 2026 International Conference on Artificial Intelligence and Cyber Security (AICS 2026)
BDML 2026   7th International Conference on Big Data and Machine Learning
AIDMK 2026   International Conference on Artificial Intelligence, Data Mining & Knowledge Management
BDAP 2026   7th International Conference on Big Data and Applications
DMSE 2026   7th International Conference on Data Mining and Software Engineering
BDBS 2026   7th International Conference on Big Data, Blockchain and Security
BIOM 2026   6th International Conference on Big Data, IoT and Machine Learning