149 search results - page 16 / 30 » Semi-supervised nonlinear dimensionality reduction |
ESANN
2007
13 years 10 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...
CMMR
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. Seeking to identify the constituent parts of the multidimensional auditory attribute that musicians know as timbre, music psychologists have made extensive use of multidi...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
We study the problem of discovering a manifold that best preserves information relevant to a nonlinear regression. Solving this problem involves extending and uniting two threads ...
ICDM
2005
IEEE
14 years 2 months ago
2005
IEEE
The notion of relations is extremely important in mathematics. In this paper, we use relations to describe the embedding problem and propose a novel stochastic relational model fo...
ACMACE
2008
ACM
13 years 10 months ago
2008
ACM
Dimensionality reduction is a statistical tool commonly used to map high-dimensional data into lower a dimensionality. The transformed data is typically more suitable for regressi...