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CGF
2008
105views more  CGF 2008»
15 years 4 months ago
Curvature-Domain Shape Processing
We propose a framework for 3D geometry processing that provides direct access to surface curvature to facilitate advanced shape editing, filtering, and synthesis algorithms. The c...
Michael Eigensatz, Robert W. Sumner, Mark Pauly
CVIU
2008
151views more  CVIU 2008»
15 years 4 months ago
Accurate and precise 2D-3D registration based on X-ray intensity
This paper addresses the problem of estimating the 3D rigid pose of an object from its digitized X-ray projection. We considered the cases of homogeneous (CAD models) and inhomoge...
Souha Aouadi, Laurent Sarry
CORR
2006
Springer
130views Education» more  CORR 2006»
15 years 4 months ago
Genetic Programming for Kernel-based Learning with Co-evolving Subsets Selection
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
Christian Gagné, Marc Schoenauer, Mich&egra...
JFR
2006
88views more  JFR 2006»
15 years 4 months ago
Discovering natural kinds of robot sensory experiences in unstructured environments
We derive categories directly from robot sensor data to address the symbol grounding problem. Unlike model-based approaches where human intuitive correspondences are sought betwee...
Daniel H. Grollman, Odest Chadwicke Jenkins, Frank...
JMLR
2006
131views more  JMLR 2006»
15 years 4 months ago
On Representing and Generating Kernels by Fuzzy Equivalence Relations
Kernels are two-placed functions that can be interpreted as inner products in some Hilbert space. It is this property which makes kernels predestinated to carry linear models of l...
Bernhard Moser