DATESO
2009
13 years 9 months ago
2009
In this paper, we compare performance of several dimension reduction techniques, namely LSI, FastMap, and SDD in Iris recognition. We compare the quality of these methods from both...
IJON
2010
13 years 10 months ago
2010
Due to the tremendous increase of electronic information with respect to the size of data sets as well as their dimension, dimension reduction and visualization of high-dimensiona...
ICML
2010
IEEE
14 years 17 days ago
2010
IEEE
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
SDM
2007
SIAM
14 years 28 days ago
2007
SIAM
This paper presents a unified view of a number of dimension reduction techniques under the common framework of tensors. Specifically, it is established that PCA, and the recentl...
CISIM
2008
IEEE
14 years 6 months ago
2008
IEEE
In this paper, we compare performance of several dimension reduction techniques, namely SVD, NMF and SDD.The qualitative comparison is evaluated on a collection of bars. We compare...