TY - GEN
T1 - An efficient algorithm of learning the parametric map of locally linear embedding
AU - Zhang, Xu
AU - Liu, Yushu
AU - Gao, Chunxiao
AU - Liu, Jinghao
PY - 2008
Y1 - 2008
N2 - A method is presented to obtain maps between the high-dimensional data and the low-dimensional space deduced by locally linear embedding (LLE). Since LLE does not provide a parametric function that build maps between the image space and the low-dimensional manifold. In this paper, multivariate linear regression is applied to deduce the maps. It can successfully project a new data point onto the embedded space. Also it can be extended to supervised LLE). The performance analysis on the obtained experimental results demonstrated that the proposed method is effective and efficient.
AB - A method is presented to obtain maps between the high-dimensional data and the low-dimensional space deduced by locally linear embedding (LLE). Since LLE does not provide a parametric function that build maps between the image space and the low-dimensional manifold. In this paper, multivariate linear regression is applied to deduce the maps. It can successfully project a new data point onto the embedded space. Also it can be extended to supervised LLE). The performance analysis on the obtained experimental results demonstrated that the proposed method is effective and efficient.
UR - https://www.scopus.com/pages/publications/62949155116
U2 - 10.1109/IITA.2008.331
DO - 10.1109/IITA.2008.331
M3 - Conference contribution
AN - SCOPUS:62949155116
SN - 9780769534978
T3 - Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008
SP - 52
EP - 56
BT - Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008
T2 - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008
Y2 - 21 December 2008 through 22 December 2008
ER -