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Sangeeta Ramakrishnan
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2020 – today
- 2020
- [c5]Jinsung Lee, Sungyong Lee
, Jongyun Lee, Sandesh Dhawaskar Sathyanarayana
PERCEIVE: deep learning-based cellular uplink prediction using real-time scheduling patterns. MobiSys 2020: 377-390
2010 – 2019
- 2019
- [c4]Anastasia Gaydashenko, Sangeeta Ramakrishnan:
A Machine Learning Approach to Maximizing Broadband Capacity via Dynamic DOCSIS 3.1 Profile Management. ICMLA 2019: 341-345 - 2018
- [j3]Zheng Lu
Exploiting Video Quality Information With Lightweight Network Coordination for HTTP-Based Adaptive Video Streaming. IEEE Trans. Multim. 20(7): 1848-1863 (2018) - 2016
- [j2]Sangeeta Ramakrishnan, Xiaoqing Zhu, Frank Chan, Kashyap K. R. Kambhatla, Zheng Lu, Cindy Chan, Bhanu Krishnamurthy:
Optimizing Quality-of-Experience for HTTP-based Adaptive Video Streaming: An SDN-based Approach. Int. J. Multim. Data Eng. Manag. 7(4): 22-44 (2016) - [c3]Zheng Lu, Sangeeta Ramakrishnan, Xiaoqing Zhu:
Exploiting Video Quality Information in Rate Adaptation for HTTP-Based Video Streaming. ISM 2016: 99-106 - 2015
- [c2]Sangeeta Ramakrishnan, Xiaoqing Zhu, Frank Chan, Kashyap K. R. Kambhatla:
SDN Based QoE Optimization for HTTP-Based Adaptive Video Streaming. ISM 2015: 120-123
1990 – 1999
- 1998
- [j1]Sangeeta Ramakrishnan, Kenneth Rose, Allen Gersho:
Constrained-storage vector quantization with a universal codebook. IEEE Trans. Image Process. 7(6): 785-793 (1998) - 1995
- [c1]Sangeeta Ramakrishnan, Kenneth Rose, Allen Gersho:
Constrained-Storage Vector Quantization with a Universal Codebook. Data Compression Conference 1995: 42-51
Coauthor Index
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