1148 search results - page 51 / 230 » Dimensionality Reduction with Image Data |
117
Voted
PRL
2006
15 years 3 months ago
2006
Data reduction plays an important role in machine learning and pattern recognition with a high-dimensional data. In real-world applications data usually exists with hybrid formats...
126
Voted
FGR
2006
IEEE
15 years 9 months ago
2006
IEEE
We propose an Isometric Self-Organizing Map (ISOSOM) method for nonlinear dimensionality reduction, which integrates a Self-Organizing Map model and an ISOMAP dimension reduction ...
142
Voted
ICCS
2007
Springer
15 years 9 months ago
2007
Springer
Assimilation of spatially- and temporally-distributed state observations into simulations of dynamical systems stemming from discretized PDEs leads to inverse problems with high-di...
156
Voted
AMDO
2006
Springer
15 years 7 months ago
2006
Springer
Abstract. We propose motion manifold learning and motion primitive segmentation framework for human motion synthesis from motion-captured data. High dimensional motion capture date...
120
Voted
ICIP
2000
IEEE
16 years 5 months ago
2000
IEEE
We describe an algorithm for the embedded coding of 3D oceanographic images. These images differ from those arising in other applications in that valid data exists only at grid po...