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» Kernels and Regularization on Graphs
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TIP
2011
164views more  TIP 2011»
13 years 4 months ago
Multiregion Image Segmentation by Parametric Kernel Graph Cuts
Abstract—The purpose of this study is to investigate multiregion graph cut image partitioning via kernel mapping of the image data. The image data is transformed implicitly by a ...
Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed
ML
2010
ACM
185views Machine Learning» more  ML 2010»
13 years 4 months ago
Learning to rank on graphs
Graph representations of data are increasingly common. Such representations arise in a variety of applications, including computational biology, social network analysis, web applic...
Shivani Agarwal
PAKDD
2011
ACM
253views Data Mining» more  PAKDD 2011»
13 years 19 days ago
Balance Support Vector Machines Locally Using the Structural Similarity Kernel
A structural similarity kernel is presented in this paper for SVM learning, especially for learning with imbalanced datasets. Kernels in SVM are usually pairwise, comparing the sim...
Jianxin Wu
ECAI
2008
Springer
13 years 11 months ago
Modeling Collaborative Similarity with the Signed Resistance Distance Kernel
We extend the resistance distance kernel to the domain of signed dissimilarity values, and show how it can be applied to collaborative rating prediction. The resistance distance is...
Jérôme Kunegis, Stephan Schmidt, Sahi...
ACID
2006
237views Algorithms» more  ACID 2006»
13 years 11 months ago
Parameterized Complexity of Finding Regular Induced Subgraphs
The r-Regular Induced Subgraph problem asks, given a graph G and a nonnegative integer k, whether G contains an r-regular induced subgraph of size at least k, that is, an induced ...
Hannes Moser, Dimitrios M. Thilikos