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» Graph Classes Between Parity and Distance-hereditary Graphs
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ICML
2003
IEEE
14 years 8 months ago
Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
Xiaojin Zhu, Zoubin Ghahramani, John D. Lafferty
INFOCOM
2009
IEEE
14 years 2 months ago
Minimizing Probing Cost for Detecting Interface Failures: Algorithms and Scalability Analysis
— The automatic detection of failures in IP paths is an essential step for operators to perform diagnosis or for overlays to adapt. We study a scenario where a set of monitors se...
Hung Xuan Nguyen, Renata Teixeira, Patrick Thiran,...
EMMCVPR
2007
Springer
14 years 1 months ago
Shape Classification Based on Skeleton Path Similarity
Most of the traditional methods for shape classification are based on contour. They often encounter difficulties when dealing with classes that have large nonlinear variability, es...
Xingwei Yang, Xiang Bai, Deguang Yu, Longin Jan La...
FOCS
2006
IEEE
14 years 1 months ago
A simple condition implying rapid mixing of single-site dynamics on spin systems
Spin systems are a general way to describe local interactions between nodes in a graph. In statistical mechanics, spin systems are often used as a model for physical systems. In c...
Thomas P. Hayes
ISCAS
1999
IEEE
95views Hardware» more  ISCAS 1999»
13 years 11 months ago
Evaluating iterative improvement heuristics for bigraph crossing minimization
The bigraph crossing problem, embedding the two node sets of a bipartite graph G = V0;V1;E along two parallel lines so that edge crossings are minimized, has application to placeme...
Matthias F. M. Stallmann, Franc Brglez, Debabrata ...