On Solving a Generalized Constrained Longest Common Subsequence Problem
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-62867-3_5
Reference15 articles.
1. Abboud, A., Backurs, A., Williams, V.V.: Tight hardness results for LCS and other sequence similarity measures. In: Proceedings of FOCS 2015 - the 56th Annual Symposium on Foundations of Computer Science, pp. 59–78. IEEE (2015)
2. Arslan, A.N., Eğecioğlu, Ö.: Algorithms for the constrained longest common subsequence problems. Int. J. Found. Comput. Sci. 16(06), 1099–1109 (2005)
3. Bezerra, F.N.: A longest common subsequence approach to detect cut and wipe video transitions. In: Proceedings of 17th Brazilian Symposium on Computer Graphics and Image Processing, pp. 154–160. IEEE Explore (2004). https://doi.org/10.1109/SIBGRA.2004.1352956
4. Blum, C., Blesa, M.J., López-Ibáñez, M.: Beam search for the longest common subsequence problem. Comput. Oper. Res. 36(12), 3178–3186 (2009)
5. Chin, F.Y., De Santis, A., Ferrara, A.L., Ho, N., Kim, S.: A simple algorithm for the constrained sequence problems. Inf. Process. Lett. 90(4), 175–179 (2004)
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