Peter Scheuermann

Signal Processing · 2002–2010

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 31 citations into it; #2,149 of 7,572 by trust here, #1,748 by citations
• Artificial Intelligence — 11 citations into it; #25,591 of 35,345 by trust here, #22,463 by citations
• Computer Vision and Pattern Recognition — 9 citations into it; #15,686 of 21,575 by trust here, #14,822 by citations
• Computer Networks and Communications — 6 citations into it
• Economics and Econometrics — 6 citations into it

Whom Peter Scheuermann trusts overall

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

1. Eamonn J. Keogh
2. Manoranjan Dash
3. Pierre Geurts
4. Jennifer G. Dy
5. Lei Chen

Who trusts Peter Scheuermann overall

1. Rohit J. Kate
2. Eamonn J. Keogh
3. John Paparrizos
4. Jason Lines
5. Anthony J. Bagnall
6. Yi Zheng
7. Ben D. Fulcher
8. Lexiang Ye
9. Richard Jensen

Papers from Peter Scheuermann's perspective

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

1. Locally adaptive dimensionality reduction for indexing large time series databases (ACM SIGMOD Conference)
2. Exact indexing of dynamic time warping (Knowledge and Information Systems)
3. Discovering similar multidimensional trajectories (Proceedings / International Conference on Data Engineering)
4. Using Dynamic Time Warping to Find Patterns in Time Series
5. On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration
6. Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases
7. Pattern classification and scene analysis
8. Similarity search over time-series data using wavelets (Proceedings / International Conference on Data Engineering)
9. An index-based approach for similarity search supporting time warping in large sequence databases (Proceedings / International Conference on Data Engineering)
10. UCI Repository of machine learning databases

Their papers

• Experimental comparison of representation methods and distance measures for time series data (2010) — 893 citations
• Querying and mining of time series data: experimental comparison of representations and distance measures (2008) — 1,489 citations
• Feature selection for clustering - a filter solution (2002) — 448 citations