540 search results - page 16 / 108 » Dimensionality Reduction for Data in Multiple Feature Repres... |
PAMI
2007
13 years 6 months ago
2007
This paper considers the problem of dimensionality reduction by orthogonal projection techniques. The main feature of the proposed techniques is that they attempt to preserve both...
ICCV
2009
IEEE
14 years 11 months ago
2009
IEEE
We present a manifold learning approach to dimensionality
reduction that explicitly models the manifold as a mapping
from low to high dimensional space. The manifold is
represen...
ICDE
2007
IEEE
14 years 1 months ago
2007
IEEE
Increasingly large text datasets and the high dimensionality associated with natural language create a great challenge in text mining. In this research, a systematic study is cond...
NN
2010
Springer
13 years 5 months ago
2010
Springer
The ratio of two probability density functions is becoming a quantity of interest these days in the machine learning and data mining communities since it can be used for various d...
ICASSP
2008
IEEE
14 years 1 months ago
2008
IEEE
Dimensionality reduction (DR) is a major issue to improve the efficiency of the classifiers in Hyperspectral images (HSI). Recently, the independent component analysis (ICA) app...