Layout Recognition of Multi-Kinds of Table-Form Documents
IEEE Transactions on Pattern Analysis and Machine Intelligence
The nature of statistical learning theory
The nature of statistical learning theory
Nonlinear component analysis as a kernel eigenvalue problem
Neural Computation
Twenty Years of Document Image Analysis in PAMI
IEEE Transactions on Pattern Analysis and Machine Intelligence
Structural Graph Matching Using the EM Algorithm and Singular Value Decomposition
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Symbol Recognition by Error-Tolerant Subgraph Matching between Region Adjacency Graphs
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
On Median Graphs: Properties, Algorithms, and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
A Constrained Approach to Multifont Chinese Character Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Shape Analysis Model with Applications to a Character Recognition System
IEEE Transactions on Pattern Analysis and Machine Intelligence
Character Recognition Without Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Diffusion Kernels on Graphs and Other Discrete Input Spaces
ICML '02 Proceedings of the Nineteenth International Conference on Machine Learning
Document Table Recognition by Graph Rewriting
AGTIVE '99 Proceedings of the International Workshop on Applications of Graph Transformations with Industrial Relevance
Logical Labeling of Document Images Using Layout Graph Matching with Adaptive Learning
DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
The shape of handwritten characters
Pattern Recognition Letters
Using tree-grammars for training set expansion in page classification
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Graph Grammar Based Analysis System of Complex Table Form Document
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
A survey of kernels for structured data
ACM SIGKDD Explorations Newsletter
Kernel Methods for Pattern Analysis
Kernel Methods for Pattern Analysis
A fast technique for comparing graph representations with applications to performance evaluation
International Journal on Document Analysis and Recognition
Diffusion Kernels on Statistical Manifolds
The Journal of Machine Learning Research
Feature Space Interpretation of SVMs with Indefinite Kernels
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mining Graph Data
Pattern Vectors from Algebraic Graph Theory
IEEE Transactions on Pattern Analysis and Machine Intelligence
Protein function prediction via graph kernels
Bioinformatics
Shortest-Path Kernels on Graphs
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Graph-Theoretic Techniques for Web Content Mining
Graph-Theoretic Techniques for Web Content Mining
2005 Speical Issue: Graph kernels for chemical informatics
Neural Networks - Special issue on neural networks and kernel methods for structured domains
A Graph-Theoretic Approach to Enterprise Network Dynamics (Progress in Computer Science and Applied Logic (PCS))
The Dissimilarity Representation for Pattern Recognition: Foundations And Applications (Machine Perception and Artificial Intelligence)
Character Recognition Systems: A Guide for Students and Practitioners
Character Recognition Systems: A Guide for Students and Practitioners
A Riemannian approach to graph embedding
Pattern Recognition
Kernel k-Means Clustering Applied to Vector Space Embeddings of Graphs
ANNPR '08 Proceedings of the 3rd IAPR workshop on Artificial Neural Networks in Pattern Recognition
IAM Graph Database Repository for Graph Based Pattern Recognition and Machine Learning
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Reducing the dimensionality of dissimilarity space embedding graph kernels
Engineering Applications of Artificial Intelligence
Approximate graph edit distance computation by means of bipartite graph matching
Image and Vision Computing
Bridging the Gap Between Graph Edit Distance and Kernel Machines
Bridging the Gap Between Graph Edit Distance and Kernel Machines
Machine Learning in Document Analysis and Recognition
Machine Learning in Document Analysis and Recognition
Kernels For Structured Data
Fast suboptimal algorithms for the computation of graph edit distance
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Transforming strings to vector spaces using prototype selection
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Report on the second symbol recognition contest
GREC'05 Proceedings of the 6th international conference on Graphics Recognition: ten Years Review and Future Perspectives
Reactive tabu search for measuring graph similarity
GbRPR'05 Proceedings of the 5th IAPR international conference on Graph-Based Representations in Pattern Recognition
Attributed Programmed Graph Grammars and Their Application to Schematic Diagram Interpretation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Inexact graph matching for structural pattern recognition
Pattern Recognition Letters
DTW for matching radon features: a pattern recognition and retrieval method
ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
Pattern analysis with graphs: Parallel work at Bern and York
Pattern Recognition Letters
Modeling the flow and change of information on the web
Proceedings of the 21st international conference companion on World Wide Web
Pattern Recognition Letters
Improving fuzzy multilevel graph embedding through feature selection technique
SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Component retrieval based on a database of graphs for Hand-Written Electronic-Scheme Digitalisation
Expert Systems with Applications: An International Journal
Neighborhood-Preserving mapping between trees
WADS'13 Proceedings of the 13th international conference on Algorithms and Data Structures
Near-duplicate document image matching: A graphical perspective
Pattern Recognition
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Graphs are a powerful and popular representation formalism in pattern recognition. Particularly in the field of document analysis they have found widespread application. From the formal point of view, however, graphs are quite limited in the sense that the majority of mathematical operations needed to build common algorithms, such as classifiers or clustering schemes, are not defined. Consequently, we observe a severe lack of algorithmic procedures that can directly be applied to graphs. There exists recent work, however, aimed at overcoming these limitations. The present paper first provides a review of the use of graph representations in document analysis. Then we discuss a number of novel approaches suitable for making tools from statistical pattern recognition available to graphs. These novel approaches include graph kernels and graph embedding. With several experiments, using different data sets from the field of document analysis, we show that the new methods have great potential to outperform traditional procedures applied to graph representations.