35 search results - page 2 / 7 » Dimensionality reduction and classification using the distri... |
PAKDD
2005
ACM
13 years 10 months ago
2005
ACM
: While feature selection is very difficult for high dimensional, unstructured data such as face image, it may be much easier to do if the data can be faithfully transformed into l...
IDEAL
2004
Springer
13 years 10 months ago
2004
Springer
Microarray datasets are often too large to visualise due to the high dimensionality. The self-organising map has been found useful to analyse massive complex datasets. It can be us...
SIGMOD
1998
ACM
13 years 9 months ago
1998
ACM
Databases are increasingly being used to store multi-media objects such as maps, images, audio and video. Storage and retrieval of these objects is accomplished using multi-dimens...
IJON
2006
13 years 4 months ago
2006
In text management tasks, the dimensionality reduction becomes necessary to computation and interpretability of the results generated by machine learning algorithms. This paper de...
ICPR
2008
IEEE
14 years 6 months ago
2008
IEEE
Multiple observation improves the performance of 3D object classification. However, since the distribution of feature vectors obtained from multiple view points have strong nonlin...