O(n2.5) time algorithms for the subgraph homeomorphism problem on trees
Journal of Algorithms
Threshold Decomposition of Gray-Scale Morphology into Binary Morphology
IEEE Transactions on Pattern Analysis and Machine Intelligence
Faster scaling algorithms for network problems
SIAM Journal on Computing
Introduction to algorithms
On query languages for the P-string data model
Information modelling and knowledge bases
Retrieval from hierarchical texts by partial patterns
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Kaikoura tree theorems: computing the maximum agreement subtree
Information Processing Letters
International Journal of Computer Vision
Sparse Dynamic Programming for Evolutionary-Tree Comparison
SIAM Journal on Computing
Tree Contractions and Evolutionary Trees
SIAM Journal on Computing
An O(n log n) algorithm for the maximum agreement subtree problem for binary trees
Proceedings of the seventh annual ACM-SIAM symposium on Discrete algorithms
ISAAC '97 Proceedings of the 8th International Symposium on Algorithms and Computation
CPM '92 Proceedings of the Third Annual Symposium on Combinatorial Pattern Matching
Computing the Agreement of Trees with Bounded Degrees
ESA '95 Proceedings of the Third Annual European Symposium on Algorithms
ESA '99 Proceedings of the 7th Annual European Symposium on Algorithms
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A widely-used method for determining the similarity of two labeled trees is to compute a maximum agreement subtree of the two trees. Previous work on this similarity measure only concerns with the comparison of labeled trees of two special kinds, namely, uniformly labeled trees (i.e., trees with all their nodes labeled by the same symbol) and evolutionary trees (i.e., leaf-labeled trees with distinct symbols for distinct leaves). This paper presents an algorithm for comparing trees that are labeled in an arbitrary manner. In addition to the generalization, our algorithm is faster than the previous algorithms in many cases.