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» Learning to cluster using local neighborhood structure
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ICML
2008
IEEE
15 years 10 months ago
Robust matching and recognition using context-dependent kernels
The success of kernel methods including support vector machines (SVMs) strongly depends on the design of appropriate kernels. While initially kernels were designed in order to han...
Hichem Sahbi, Jean-Yves Audibert, Jaonary Rabariso...
CAIP
2007
Springer
150views Image Analysis» more  CAIP 2007»
15 years 4 months ago
Junction Detection and Multi-orientation Analysis Using Streamlines
We present a novel method to detect multimodal regions composed of linear structures and measure the orientations in these regions, i.e. at line X-sings, T-junctions and Y-forks. I...
Frank G. A. Faas, Lucas J. van Vliet
CIKM
2010
Springer
14 years 8 months ago
Multi-view clustering with constraint propagation for learning with an incomplete mapping between views
Multi-view learning algorithms typically assume a complete bipartite mapping between the different views in order to exchange information during the learning process. However, ma...
Eric Eaton, Marie desJardins, Sara Jacob
CGF
2010
153views more  CGF 2010»
14 years 10 months ago
Localized Delaunay Refinement for Sampling and Meshing
The technique of Delaunay refinement has been recognized as a versatile tool to generate Delaunay meshes of a variety of geometries. Despite its usefulness, it suffers from one la...
Tamal K. Dey, Joshua A. Levine, A. Slatton
CONTEXT
2001
Springer
15 years 2 months ago
Learning Appropriate Contexts
Genetic Programming is extended so that the solutions being evolved do so in the context of local domains within the total problem domain. This produces a situation where different...
Bruce Edmonds