Vijay Gopalakrishnan

Computer Networks and Communications · 2015–2018

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Vijay Gopalakrishnan trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Junchen Jiang
  2. Xiaoqi Yin
  3. Te-Yuan Huang
  4. Vyas Sekar

Who trusts Vijay Gopalakrishnan overall

  1. Nisha Panwar
  2. Adnan Aijaz

Papers from Vijay Gopalakrishnan's perspective

Ordered by how strongly the researchers Vijay Gopalakrishnan trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Improving fairness, efficiency, and stability in HTTP-based adaptive video streaming with FESTIVE (Conference on Emerging Network Experiment and Technology)
  2. Developing a predictive model of quality of experience for internet video (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
  3. A Control-Theoretic Approach for Dynamic Adaptive Video Streaming over HTTP (Computer communication review)
  4. A buffer-based approach to rate adaptation
  5. Neural Adaptive Video Streaming with Pensieve (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
  6. Ridge Regression Learning Algorithm in Dual Variables
  7. A Framework to Evaluate Omnidirectional Video Coding Schemes (2015 IEEE International Symposium on Mixed and Augmented Reality)
  8. Optimizing 360 video delivery over cellular networks (ATC@MobiCom)
  9. A close examination of performance and power characteristics of 4G LTE networks (ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services)
  10. A tutorial on support vector regression

Their papers