1224 search results - page 4 / 245 » On the Optimality of the Dimensionality Reduction Method |
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
Dimensionality reduction is an important issue when facing high-dimensional data. For supervised dimensionality reduction, Linear Discriminant Analysis (LDA) is one of the most po...
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
In this paper, we propose a new nonlinear dimensionality reduction algorithm by adopting regularized least-square criterion on local areas of the data distribution. We first propo...
CVPR
2010
IEEE
15 years 5 months ago
2010
IEEE
When classifying high-dimensional sequence data, traditional methods (e.g., HMMs, CRFs) may require large amounts of training data to avoid overfitting. In such cases dimensional...
SDM
2010
SIAM
14 years 11 months ago
2010
SIAM
The dimensionality reduction problem has been widely studied in the database literature because of its application for concise data representation in a variety of database applica...
COMPLIFE
2006
Springer
15 years 1 months ago
2006
Springer
We present a method for simultaneous dimension reduction and metastability analysis of high dimensional time series. The approach is based on the combination of hidden Markov model...