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ICANN
2007
Springer
15 years 10 months ago
Unbiased SVM Density Estimation with Application to Graphical Pattern Recognition
Abstract. Classification of structured data (i.e., data that are represented as graphs) is a topic of interest in the machine learning community. This paper presents a different,...
Edmondo Trentin, Ernesto Di Iorio
142
Voted
ICML
2004
IEEE
16 years 5 months ago
Semi-supervised learning using randomized mincuts
In many application domains there is a large amount of unlabeled data but only a very limited amount of labeled training data. One general approach that has been explored for util...
Avrim Blum, John D. Lafferty, Mugizi Robert Rweban...
GBRPR
2009
Springer
15 years 10 months ago
Edition within a Graph Kernel Framework for Shape Recognition
A large family of shape comparison methods is based on a medial axis transform combined with an encoding of the skeleton by a graph. Despite many qualities this encoding of shapes ...
François-Xavier Dupé, Luc Brun
COLT
2004
Springer
15 years 9 months ago
Regularization and Semi-supervised Learning on Large Graphs
We consider the problem of labeling a partially labeled graph. This setting may arise in a number of situations from survey sampling to information retrieval to pattern recognition...
Mikhail Belkin, Irina Matveeva, Partha Niyogi
133
Voted
LICS
1994
IEEE
15 years 8 months ago
A Fully Abstract Semantics for Concurrent Graph Reduction
abstract semantics for concurrent graph reduction ALAN JEFFREY This paper presents a fully abstract semantics for a variant of the untyped -calculus with recursive declarations. We...
Alan Jeffrey