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» L(2, 1)-labelling of graphs
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CVIU
2011
14 years 1 months ago
Graph attribute embedding via Riemannian submersion learning
In this paper, we tackle the problem of embedding a set of relational structures into a metric space for purposes of matching and categorisation. To this end, we view the problem ...
Haifeng Zhao, Antonio Robles-Kelly, Jun Zhou, Jian...
IFIP
2004
Springer
15 years 3 months ago
Selective Channel Scanning for Fast Handoff in Wireless LAN Using Neighbor Graph
: Handoff at the link layer 2 (L2) consists of three phases including scanning, authentication, and reassociation. Among the three phases, scanning is dominant in terms of time del...
Sang-Hee Park, Hye-Soo Kim, Chun-Su Park, Jae-Won ...
ICDCS
2006
IEEE
15 years 3 months ago
Routing in Networks with Low Doubling Dimension
This paper studies compact routing schemes for networks with low doubling dimension. Two variants are explored, name-independent routing and labeled routing. The key results obtai...
Ittai Abraham, Cyril Gavoille, Andrew V. Goldberg,...
ECCV
2008
Springer
15 years 11 months ago
An Experimental Comparison of Discrete and Continuous Shape Optimization Methods
Shape optimization is a problem which arises in numerous computer vision problems such as image segmentation and multiview reconstruction. In this paper, we focus on a certain clas...
Maria Klodt, Thomas Schoenemann, Kalin Kolev, Mare...
CIKM
2010
Springer
14 years 7 months ago
Regularization and feature selection for networked features
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
Hongliang Fei, Brian Quanz, Jun Huan