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» Partitioning Approach to Visualization of Large Graphs
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175
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PAMI
2007
202views more  PAMI 2007»
15 years 4 months ago
Weighted Graph Cuts without Eigenvectors A Multilevel Approach
—A variety of clustering algorithms have recently been proposed to handle data that is not linearly separable; spectral clustering and kernel k-means are two of the main methods....
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
CVPR
2012
IEEE
13 years 7 months ago
Scalable k-NN graph construction for visual descriptors
The k-NN graph has played a central role in increasingly popular data-driven techniques for various learning and vision tasks; yet, finding an efficient and effective way to con...
Jing Wang, Jingdong Wang, Gang Zeng, Zhuowen Tu, R...
153
Voted
TPCG
2003
IEEE
15 years 10 months ago
Guided Navigation in Task-Oriented 3D Graph Visualizations
In many application areas an optimal visualization of a complex graph depends on the specific task to be accomplished by the user. Therefore a means of locally customizable layou...
Guido Reina, Sven Lange-Last, Klaus D. Engel, Thom...
148
Voted
APVIS
2010
15 years 6 months ago
GMap: Visualizing graphs and clusters as maps
Information visualization is essential in making sense out of large data sets. Often, high-dimensional data are visualized as a collection of points in 2-dimensional space through...
Emden R. Gansner, Yifan Hu, Stephen G. Kobourov
MICCAI
2010
Springer
15 years 3 months ago
Segmentation Subject to Stitching Constraints: Finding Many Small Structures in a Large Image
International Conference on Medical Image Computing and Computer Assisted Intervention, Beijing, China, 20-24 September 2010 Extracting numerous cells in a large microscopic image...
Elena Bernardis, Stella X. Yu