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» Computational Aspects of Lucidity-Driven Graph Clustering
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JGAA
2010
50views more  JGAA 2010»
13 years 4 months ago
Computational Aspects of Lucidity-Driven Graph Clustering
Robert Görke, Marco Gaertler, Florian Hü...
GD
1998
Springer
13 years 10 months ago
Balanced Aspect Ratio Trees and Their Use for Drawing Very Large Graphs
We describe a new approach for cluster-based drawing of very large graphs, which obtains clusters by using binary space partition (BSP) trees. We also introduce a novel BSP-type de...
Christian A. Duncan, Michael T. Goodrich, Stephen ...
CVPR
2007
IEEE
14 years 7 months ago
Learning and Matching Line Aspects for Articulated Objects
Traditional aspect graphs are topology-based and are impractical for articulated objects. In this work we learn a small number of aspects, or prototypical views, from video data. ...
Xiaofeng Ren
BMCV
2000
Springer
13 years 10 months ago
Pose-Independent Object Representation by 2-D Views
We here describe a view-based system for the pose-independent representation of objects without making reference to 3-D models. Input to the system is a collection of pictures cov...
Jan Wieghardt, Christoph von der Malsburg
ECCV
2008
Springer
14 years 7 months ago
Modeling and Recognition of Landmark Image Collections Using Iconic Scene Graphs
This paper presents an approach for modeling landmark sites such as the Statue of Liberty based on large-scale contaminated image collections gathered from the Internet. Our system...
Xiaowei Li, Changchang Wu, Christopher Zach, Svetl...