376 search results - page 1 / 76 » A New Algorithm for Estimating the Effective Dimension-Reduc... |
JMLR
2008
13 years 4 months ago
2008
The statistical problem of estimating the effective dimension-reduction (EDR) subspace in the multi-index regression model with deterministic design and additive noise is consider...
JMLR
2010
12 years 11 months ago
2010
The goal of sufficient dimension reduction in supervised learning is to find the lowdimensional subspace of input features that is `sufficient' for predicting output values. ...
ICB
2009
Springer
13 years 11 months ago
2009
Springer
The small sample size problem and the difficulty in determining the optimal reduced dimension limit the application of subspace learning methods in the gait recognition domain. To...
ICDM
2002
IEEE
13 years 9 months ago
2002
IEEE
It is well-known that for high dimensional data clustering, standard algorithms such as EM and the K-means are often trapped in local minimum. Many initialization methods were pro...
KDD
2004
ACM
14 years 5 months ago
2004
ACM
Dimension reduction is a critical data preprocessing step for many database and data mining applications, such as efficient storage and retrieval of high-dimensional data. In the ...