817 search results - page 12 / 164 » Robust Euclidean embedding |
124
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PKDD
2005
Springer
15 years 7 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...
124
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ICML
2008
IEEE
16 years 2 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...
105
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EMMCVPR
2009
Springer
14 years 11 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...
107
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SIGMOD
2005
ACM
15 years 7 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...
122
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ECCV
2010
Springer
15 years 6 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...