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GBRPR
2009
Springer
14 years 2 months ago
A Graph Based Data Model for Graphics Interpretation
A universal data model, named DG, is introduced to handle vectorized data uniformly during the whole recognition process. The model supports low level graph algorithms as well as h...
Endre Katona
ENDM
2000
131views more  ENDM 2000»
13 years 7 months ago
Some Topological Methods in Graph Coloring Theory
Attempts to solve the famous Four Color Problem led to fruitful discoveries and rich coloring theories. In this talk, some old and some recent applications of tools from topology ...
Bojan Mohar
PAMI
2007
196views more  PAMI 2007»
13 years 7 months ago
Clustering and Embedding Using Commute Times
This paper exploits the properties of the commute time between nodes of a graph for the purposes of clustering and embedding, and explores its applications to image segmentation a...
Huaijun Qiu, Edwin R. Hancock
SDM
2008
SIAM
164views Data Mining» more  SDM 2008»
13 years 9 months ago
Randomizing Social Networks: a Spectrum Preserving Approach
Understanding the general properties of real social networks has gained much attention due to the proliferation of networked data. The nodes in the network are the individuals and...
Xiaowei Ying, Xintao Wu
GBRPR
2007
Springer
14 years 1 months ago
Grouping Using Factor Graphs: An Approach for Finding Text with a Camera Phone
Abstract. We introduce a new framework for feature grouping based on factor graphs, which are graphical models that encode interactions among arbitrary numbers of random variables....
Huiying Shen, James Coughlan