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» Clustering from Constraint Graphs
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ICPR
2008
IEEE
14 years 4 months ago
Medical image segmentation via min s-t cuts with sides constraints
Graph cut algorithms (i.e., min s-t cuts) [3][10][15] are useful in many computer vision applications. In this paper we develop a formulation that allows the addition of side cons...
Jiun-Hung Chen, Linda G. Shapiro
ICFEM
2009
Springer
14 years 2 months ago
An Empirical Study of Structural Constraint Solving Techniques
Structural constraint solving allows finding object graphs that satisfy given constraints, thereby enabling software reliability tasks, such as systematic testing and error recove...
Junaid Haroon Siddiqui, Sarfraz Khurshid
ICPR
2008
IEEE
14 years 4 months ago
Pattern vectors from the Ihara zeta function
This paper shows how to construct pattern vectors from the Ihara zeta function for the purposes of characterizing graph structures. To avoid the risk of sampling the meaningless i...
Peng Ren, Richard C. Wilson, Edwin R. Hancock
INCDM
2010
Springer
172views Data Mining» more  INCDM 2010»
13 years 8 months ago
Evaluating the Quality of Clustering Algorithms Using Cluster Path Lengths
Many real world systems can be modeled as networks or graphs. Clustering algorithms that help us to organize and understand these networks are usually referred to as, graph based c...
Faraz Zaidi, Daniel Archambault, Guy Melanç...
APVIS
2007
13 years 11 months ago
Level-of-detail visualization of clustered graph layouts
The level-of-detail techniques presented in this paper enable a comprehensible interactive visualization of large and complex clustered graph layouts either in 2D or 3D. Implicit ...
Michael Balzer, Oliver Deussen