Time Warps, String Edits, and Macromolecules – The Theory and Practice of Sequence Comparison . David Sankoff and Joseph Kruskal. ISBN 1-57586-217-4. Price £13.95 (US$22·95).

By S. Sturrock. 2000

475 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/abcab02ebe45bdfc4b8e5e272ebb3f7471a2cdec

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. C. V. Jawahar
2. Alahari Karteek
3. Anand Mishra
4. Vibhor Goel
5. Raghavan Manmatha
6. Toni M. Rath
7. Eamonn J. Keogh
8. Chotirat (Ann) Ratanamahatana

In Computer Vision and Pattern Recognition

1. Andrew Zisserman
2. Andrea Vedaldi
3. Luc Van Gool
4. C. V. Jawahar
5. Alahari Karteek
6. Trevor Darrell
7. Jitendra Malik
8. Anand Mishra

In Statistical and Nonlinear Physics

1. C. V. Jawahar
2. Raghavan Manmatha
3. Vibhor Goel
4. Toni M. Rath
5. Anand Mishra
6. Alahari Karteek

Citations in the corpus

• Word image matching using dynamic time warping (2003, methodology): “A more detailed discussion of continuity constraints can be found in [8].”
• BinHunt: Automatically Finding Semantic Differences in Binary Programs (2008, unknown): “, dynamic programming [14,12].”
• Whole is Greater than Sum of Parts: Recognizing Scene Text Words (2013, methodology): “To this end, we present a gradient based feature set, and then a weighted Dynamic Time Warping scheme in the remainder of this section.”