On the public citation graph
Graph-Based Representations in Pattern Recognition : 5th IAPR International Workshop, GbRPR 2005, Poitiers, France, April 11-13, 2005, Proceedings
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-540-31988-7_23openalex-snapshot
Defining Consistency to Detect Change Using Inexact Graph Matching
inferredcites →https://doi.org/10.1007/978-3-540-31988-7_28openalex-snapshot
Collaboration Between Statistical and Structural Approaches for Old Handwritten Characters Recognition
inferredcites →https://doi.org/10.1007/978-3-642-20844-7openalex-snapshot
Graph-Based Representations in Pattern Recognition
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Oriented boundary graph: An efficient structuring model for segmentation of 3D images
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Morphological filtering on hypergraphs
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Flexible knowledge representation and new similarity measure: Application on case based reasoning for waste treatment
inferred← citeshttps://doi.org/10.1016/j.patcog.2005.10.011openalex-snapshot
Recovery of missing information in graph sequences by means of reference pattern matching and decision tree learning
inferred← citeshttps://doi.org/10.1016/j.patrec.2011.05.005openalex-snapshot
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The H0 function, a new index for detecting structural/topological complexity information in undirected graphs
inferred← citeshttps://doi.org/10.1016/j.tcs.2016.03.006openalex-snapshot
An efficient algorithm to detect common ancestor genes for non-overlapping inversion and applications
inferred← citeshttps://doi.org/10.1145/3622940openalex-snapshot
Discovering Interesting Patterns from Hypergraphs
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A Survey on Computer-Aided Diagnosis of Brain Disorders through MRI Based on Machine Learning and Data Mining Methodologies with an Emphasis on Alzheimer Disease Diagnosis and the Contribution of the Multimodal Fusion
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