149 search results - page 19 / 30 » Semi-supervised nonlinear dimensionality reduction |
COMPGEOM
2009
ACM
14 years 3 months ago
2009
ACM
Nonlinear dimensionality reduction (NLDR) algorithms such as Isomap, LLE and Laplacian Eigenmaps address the problem of representing high-dimensional nonlinear data in terms of lo...
AUTOMATICA
2005
13 years 8 months ago
2005
This paper presents a new approach to shaping of the frequency response of the sensitivity function. In this approach, a desired frequency response is assumed to be specified at a...
ICML
2004
IEEE
14 years 9 months ago
2004
IEEE
Many difficult visual perception problems, like 3D human motion estimation, can be formulated in terms of inference using complex generative models, defined over high-dimensional ...
SIGMOD
2006
ACM
14 years 8 months ago
2006
ACM
To enable efficient similarity search in large databases, many indexing techniques use a linear transformation scheme to reduce dimensions and allow fast approximation. In this re...
IJCAI
2007
13 years 10 months ago
2007
Dimensionality reduction is a much-studied task in machine learning in which high-dimensional data is mapped, possibly via a non-linear transformation, onto a low-dimensional mani...