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PKDD
2010
Springer
178views Data Mining» more  PKDD 2010»
13 years 6 months ago
Large-Scale Support Vector Learning with Structural Kernels
Abstract. In this paper, we present an extensive study of the cuttingplane algorithm (CPA) applied to structural kernels for advanced text classification on large datasets. In par...
Aliaksei Severyn, Alessandro Moschitti
ISPDC
2010
IEEE
13 years 7 months ago
Operational Semantics of the Marte Repetitive Structure Modeling Concepts for Data-Parallel Applications Design
—This paper presents an operational semantics of the repetitive model of computation, which is the basis for the repetitive structure modeling (RSM) package defined in the stand...
Abdoulaye Gamatié, Vlad Rusu, Éric R...
CVPR
2006
IEEE
14 years 10 months ago
On Manifold Structure of Cardiac MRI Data: Application to Segmentation
We develop theory and algorithms to incorporate image manifold constraints in a level set segmentation algorithm. This provides a framework to simultaneously segment every image o...
Qilong Zhang, Richard Souvenir, Robert Pless
ECML
2007
Springer
14 years 2 months ago
Learning Metrics Between Tree Structured Data: Application to Image Recognition
The problem of learning metrics between structured data (strings, trees or graphs) has been the subject of various recent papers. With regard to the specific case of trees, some a...
Laurent Boyer 0002, Amaury Habrard, Marc Sebban