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» A Graph Based Data Model for Graphics Interpretation
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113
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TNN
1998
123views more  TNN 1998»
15 years 2 months ago
A general framework for adaptive processing of data structures
—A structured organization of information is typically required by symbolic processing. On the other hand, most connectionist models assume that data are organized according to r...
Paolo Frasconi, Marco Gori, Alessandro Sperduti
137
Voted
INFOVIS
2003
IEEE
15 years 8 months ago
Visualizing Evolving Networks: Minimum Spanning Trees versus Pathfinder Networks
Network evolution is a ubiquitous phenomenon in a wide variety of complex systems. There is an increasing interest in statistically modeling the evolution of complex networks such...
Chaomei Chen, Steven Morris
ICDAR
2011
IEEE
14 years 2 months ago
Symbol Spotting in Line Drawings through Graph Paths Hashing
—In this paper we propose a symbol spotting technique through hashing the shape descriptors of graph paths (Hamiltonian paths). Complex graphical structures in line drawings can ...
Anjan Dutta, Josep Lladós, Umapada Pal
139
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SMA
2003
ACM
118views Solid Modeling» more  SMA 2003»
15 years 7 months ago
Graph based topological analysis of tessellated surfaces
In this paper a graph-based method is presented which not only characterizes topological classification of the tessellated surfaces but also simultaneously generates the substanti...
Tula Ram Ban, Dibakar Sen
BIRD
2008
Springer
141views Bioinformatics» more  BIRD 2008»
15 years 4 months ago
Nested q-Partial Graphs for Genetic Network Inference from "Small n, Large p" Microarray Data
Abstract. Gaussian graphical models are widely used to tackle the important and challenging problem of inferring genetic regulatory networks from expression data. These models have...
Kevin Kontos, Gianluca Bontempi