Justin Teller

Signal Processing · 2015

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Justin Teller trusts

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

  1. Eamonn J. Keogh (in Signal Processing)
  2. Stefano Lonardi (in Signal Processing)

Who trusts Justin Teller

  1. Akshitha Sriraman (in Artificial Intelligence)
  2. Abhishek Dhanotia (in Artificial Intelligence)

Papers from Justin Teller's perspective

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

  1. Finding surprising patterns in a time series database in linear time and space (Knowledge Discovery and Data Mining)
  2. Towards parameter-free data mining (Knowledge Discovery and Data Mining)
  3. A symbolic representation of time series, with implications for streaming algorithms (Workshop on Research Issues on Data Mining and Knowledge Discovery)
  4. Exact indexing of dynamic time warping (Knowledge and Information Systems)
  5. Paxos Made Simple
  6. Searching and Mining Trillions of Time Series Subsequences under Dynamic Time Warping (Knowledge Discovery and Data Mining)
  7. Fast lossless compression of scientific floating-point data
  8. Paxos made live: an engineering perspective (ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing)
  9. Scaling Memcache at Facebook (Symposium on Networked Systems Design and Implementation)
  10. Fast and Efficient Compression of Floating-Point Data (IEEE Transactions on Visualization and Computer Graphics)

Their papers