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IJCV
2007
115views more  IJCV 2007»
13 years 7 months ago
Discovering Shape Classes using Tree Edit-Distance and Pairwise Clustering
This paper describes work aimed at the unsupervised learning of shape-classes from shock trees. We commence by considering how to compute the edit distance between weighted trees. ...
Andrea Torsello, Antonio Robles-Kelly, Edwin R. Ha...
JCB
2006
115views more  JCB 2006»
13 years 7 months ago
Designing an A* Algorithm for Calculating Edit Distance between Rooted-Unordered Trees
Tree structures are useful for describing and analyzing biological objects and processes. Consequently, there is a need to design metrics and algorithms to compare trees. A natura...
Yair Horesh, Ramit Mehr, Ron Unger
PR
2011
13 years 2 months ago
A sum-over-paths extension of edit distances accounting for all sequence alignments
This paper introduces a simple Sum-over-Paths (SoP) formulation of string edit distances accounting for all possible alignments between two sequences, and extends related previous...
Silvia García-Díez, François ...
PR
2006
152views more  PR 2006»
13 years 7 months ago
Edit distance-based kernel functions for structural pattern classification
A common approach in structural pattern classification is to define a dissimilarity measure on patterns and apply a distance-based nearest-neighbor classifier. In this paper, we i...
Michel Neuhaus, Horst Bunke
ECML
2007
Springer
14 years 1 months ago
Learning Metrics Between Tree Structured Data: Application to Image Recognition
The problem of learning metrics between structured data (strings, trees or graphs) has been the subject of various recent papers. With regard to the specific case of trees, some a...
Laurent Boyer 0002, Amaury Habrard, Marc Sebban