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PKDD
2010
Springer
178views Data Mining» more  PKDD 2010»
14 years 11 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
138
Voted
ISPDC
2010
IEEE
14 years 11 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...
117
Voted
CVPR
2006
IEEE
16 years 2 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
15 years 6 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
94
Voted
CADE
2005
Springer
16 years 24 days ago
Simulating Reachability Using First-Order Logic with Applications to Verification of Linked Data Structures
Greta Yorsh, Neil Immerman, Shmuel Sagiv, Siddhart...