2033 search results - page 8 / 407 » Ranking on Data Manifolds |
CVPR
2007
IEEE
14 years 1 months ago
2007
IEEE
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
TIP
2010
13 years 2 months ago
2010
The emergence of low-cost sensing architectures for diverse modalities has made it possible to deploy sensor networks that capture a single event from a large number of vantage po...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Given a finite number of data points sampled from a low-dimensional manifold embedded in a high dimensional space together with the parameter vectors for a subset of the data poin...
ECCV
2010
Springer
13 years 11 months ago
2010
Springer
Manifolds are widely used to model non-linearity arising in a range of computer vision applications. This paper treats statistics on manifolds and the loss of accuracy occurring wh...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Analytic manifolds were recently used for motion averaging, segmentation and robust estimation. Here we consider the epipolar constraint for calibrated cameras, which is the most ...