570 search results - page 1 / 114 » Intrinsic Geometries in Learning |
ETVC
2008
13 years 6 months ago
2008
In a seminal paper, Amari (1998) proved that learning can be made more efficient when one uses the intrinsic Riemannian structure of the algorithms' spaces of parameters to po...
DGCI
2006
Springer
13 years 8 months ago
2006
Springer
The intrinsic volumes
PAMI
2008
13 years 4 months ago
2008
Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...
COMPUTING
2007
13 years 4 months ago
2007
The discrete Laplace-Beltrami operator plays a prominent role in many Digital Geometry Processing applications ranging from denoising to parameterization, editing, and physical si...
ECCV
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. Automatic detection of symmetries, regularity, and repetitive structures in 3D geometry is a fundamental problem in shape analysis and pattern recognition with applicatio...