817 search results - page 12 / 164 » Robust Euclidean embedding |
PKDD
2005
Springer
15 years 3 months ago
2005
Springer
Locally Linear Embedding (LLE) has recently been proposed as a method for dimensional reduction of high-dimensional nonlinear data sets. In LLE each data point is reconstructed fro...
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
In dimensionality reduction approaches, the data are typically embedded in a Euclidean latent space. However for some data sets this is inappropriate. For example, in human motion...
EMMCVPR
2009
Springer
14 years 7 months ago
2009
Springer
Determining Euclidean transformations for the robust registration of noisy unstructured point sets is a key problem of model-based computer vision and numerous industrial applicati...
SIGMOD
2005
ACM
15 years 3 months ago
2005
ACM
An important consideration in similarity-based retrieval of moving object trajectories is the definition of a distance function. The existing distance functions are usually sensi...
ECCV
2010
Springer
15 years 2 months ago
2010
Springer
As it has been noted several times in literature, the difficult part of autocalibration efforts resides in the structural non-linearity of the search for the plane at infinity. I...