454 search results - page 18 / 91 » On the approximation error in high dimensional model represe... |
IDEAL
2010
Springer
13 years 4 months ago
2010
Springer
: Covariance matrices capture correlations that are invaluable in modeling real-life datasets. Using all d2 elements of the covariance (in d dimensions) is costly and could result ...
ICDE
2004
IEEE
14 years 8 months ago
2004
IEEE
The past decade has seen a wealth of research on time series representations, because the manipulation, storage, and indexing of large volumes of raw time series data is impractic...
ITCC
2005
IEEE
14 years 1 months ago
2005
IEEE
We propose a novel, computationally efficient generative topographic model for inferring low dimensional representations of high dimensional data sets, designed to exploit data s...
PAMI
2011
13 years 2 months ago
2011
—Subspaces offer convenient means of representing information in many pattern recognition, machine vision, and statistical learning applications. Contrary to the growing populari...
ECCV
2010
Springer
13 years 11 months ago
2010
Springer
Recent research has shown the effectiveness of using sparse coding(Sc) to solve many computer vision problems. Motivated by the fact that kernel trick can capture the nonlinear sim...