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» Sampling Techniques for Kernel Methods
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MICCAI
2006
Springer
15 years 10 months ago
Anatomically Informed Convolution Kernels for the Projection of fMRI Data on the Cortical Surface
Abstract. We present here a method that aims at producing representations of functional brain data on the cortical surface from functional MRI volumes. Such representations are req...
Grégory Operto, Jean-Luc Anton, Olivier Cou...
BMVC
2010
14 years 7 months ago
Deterministic Sample Consensus with Multiple Match Hypotheses
RANSAC (Random Sample Consensus) is a popular and effective technique for estimating model parameters in the presence of outliers. Efficient algorithms are necessary for both fram...
Paul McIlroy, Edward Rosten, Simon Taylor, Tom Dru...
AUSAI
2003
Springer
15 years 3 months ago
Multimedia Analysis and Synthesis
We describe novel approaches to multimedia analysis and synthesis problems. We first present the experiential sampling technique which has the ability to focus on the analysis task...
Mohan S. Kankanhalli
JMLR
2006
112views more  JMLR 2006»
14 years 9 months ago
Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting
We develop kernels for measuring the similarity between relational instances using background knowledge expressed in first-order logic. The method allows us to bridge the gap betw...
Andrea Passerini, Paolo Frasconi, Luc De Raedt
IJCV
2007
145views more  IJCV 2007»
14 years 9 months ago
Building Outline Extraction from Digital Elevation Models Using Marked Point Processes
— This work presents an automatic algorithm for extracting vectorial land registers from altimetric data in dense urban areas. We focus on elementary shape extraction and propose...
Mathias Ortner, Xavier Descombes, Josiane Zerubia