Lexiang Ye
Signal Processing · 2009–2010
A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 47 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 12 citations into it; #627 of 7,572 by trust here, #1,958 by citations
- Artificial Intelligence — 5 citations into it; #14,235 of 35,345 by trust here, #26,682 by citations
Whom Lexiang Ye trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Eamonn J. Keogh
- Pierre Geurts
- Niko Speybroeck
- Xiaopeng Xi
- Balázs Kégl
- Hui Ding
- Jessica Lin
- Li Wei
- Bill Yuan-chi Chiu
- Chotirat (Ann) Ratanamahatana
Who trusts Lexiang Ye overall
- Jason Lines
- Anthony J. Bagnall
- Rohit J. Kate
- Charu C. Aggarwal
- Yi Zheng
- Donghao Luo
- Jon Hills
- Charlotte Pelletier
- Eamonn J. Keogh
- Gowtham Atluri
Papers from Lexiang Ye's perspective
Ordered by how strongly the researchers Lexiang Ye trusts endorse each paper. Same corpus, a different order for every researcher.
- Exact indexing of dynamic time warping (Knowledge and Information Systems)
- Using Dynamic Time Warping to Find Patterns in Time Series
- On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration
- Experiencing SAX: a novel symbolic representation of time series (Data mining and knowledge discovery)
- Probabilistic discovery of time series motifs (Knowledge Discovery and Data Mining)
- Fast time series classification using numerosity reduction (International Conference on Machine Learning)
- Querying and mining of time series data: experimental comparison of representations and distance measures (Proceedings of the VLDB Endowment)
- Individual Comparisons by Ranking Methods
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Locally adaptive dimensionality reduction for indexing large time series databases (ACM SIGMOD Conference)
Their papers
- Time series shapelets: a new primitive for data mining (2009) — 1,175 citations
- Time series shapelets: a novel technique that allows accurate, interpretable and fast classification (2010) — 425 citations