23 search results - page 4 / 5 » Point-Based Manifold Harmonics |
91
Voted
MM
2009
ACM
15 years 4 months ago
2009
ACM
We propose a novel technique for semi-supervised image annotation which introduces a harmonic regularizer based on the graph Laplacian of the data into the probabilistic semantic ...
74
Voted
DAGM
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. Isomap is a highly popular manifold learning and dimensionality reduction technique that effectively performs multidimensional scaling on estimates of geodesic distances....
MICCAI
2007
Springer
15 years 10 months ago
2007
Springer
This paper proposes to use the Laplace-Beltrami spectrum (LBS) as a global shape descriptor for medical shape analysis, allowing for shape comparisons using minimal shape preproces...
ICCV
2011
IEEE
13 years 9 months ago
2011
IEEE
In this paper we propose a new approach to compute the scale space of any omnidirectional image acquired with a central catadioptric system. When these cameras are central they ar...
128
Voted
CVPR
2009
IEEE
2009
IEEE
A Nonparametric Riemannian Framework for Processing High Angular Resolution Diffusion Images (HARDI)
16 years 4 months ago
High angular resolution diffusion imaging has become an
important magnetic resonance technique for in vivo imaging.
Most current research in this field focuses on developing
met...