76 search results - page 3 / 16 » Nonlinear Dimensionality Reduction using Approximate Nearest... |
ESANN
2007
13 years 7 months ago
2007
Local algorithms for non-linear dimensionality reduction [1], [2], [3], [4], [5] and semi-supervised learning algorithms [6], [7] use spectral decomposition based on a nearest neig...
JMLR
2010
13 years 1 months ago
2010
Different aspects of the curse of dimensionality are known to present serious challenges to various machine-learning methods and tasks. This paper explores a new aspect of the dim...
CIKM
2003
Springer
13 years 11 months ago
2003
Springer
Reverse Nearest Neighbor (RNN) queries are of particular interest in a wide range of applications such as decision support systems, profile based marketing, data streaming, docum...
PKDD
2005
Springer
13 years 11 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...
PODS
2003
ACM
14 years 6 months ago
2003
ACM
In recent years, the problem of indexing mobile objects has assumed great importance because of its relevance to a wide variety of applications. Most previous results in this area...