335 search results - page 25 / 67 » Neighborly Embedded Manifolds |
ICIP
2010
IEEE
13 years 5 months ago
2010
IEEE
Discovering local geometry of low-dimensional manifold embedded into a high-dimensional space has been widely studied in the literature of machine learning. Counter-intuitively, w...
SIGGRAPH
2010
ACM
13 years 11 months ago
2010
ACM
Manifold bootstrapping is a new method for data-driven modeling of real-world, spatially-varying reflectance, based on the idea that reflectance over a given material sample forms...
PKDD
2005
Springer
14 years 1 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...
ERSA
2008
13 years 9 months ago
2008
This paper presents an accelerator for k-th nearest neighbor thinning, a run time intensive algorithmic kernel used in recent multi-objective optimizers. We discuss the thinning al...
SDM
2007
SIAM
13 years 9 months ago
2007
SIAM
Nonlinear dimensionality reduction methods often rely on the nearest-neighbors graph to extract low-dimensional embeddings that reliably capture the underlying structure of high-d...