Compression for Large-Scale Time-Varying Volume Data Using Spatio-temporal Features - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Kun Zhao, Naohisa Sakamoto, Koji Koyamada. Compression for Large-Scale Time-Varying Volume Data Using Spatio-temporal Features. In Gary S. H. Tan, Gee Kin Yeo, Stephen John Turner, Yong Meng Teo, editors, AsiaSim 2013 - 13th International Conference on Systems Simulation, Singapore, November 6-8, 2013. Proceedings. Volume 402 of Communications in Computer and Information Science, pages 136-148, Springer, 2013. [doi]

This author has not been identified. Look up 'Kun Zhao' in GoogleThis author has not been identified. Look up 'Naohisa Sakamoto' in GoogleThis author has not been identified. Look up 'Koji Koyamada' in Google

runs on WebDSL