TY - GEN
T1 - Estimating geodesic distances on locally linear patches
AU - Deyu, Meng
AU - Zongben, Xu
AU - Nannan, Gu
AU - Mingwei, Dai
PY - 2007
Y1 - 2007
N2 - Geodesic distance estimation is one of the key steps in isometric data embedding. This paper presents a new method to improve the precision of geodesic distance estimation. Different from the previous methods, the new method enlarges the searching area for approximate geodesic curve from local neighborhood edges to locally linear patches, which naturally leads to more precise geodesic distance estimation. Experiment results evidently show the improvement brought by the new method.
AB - Geodesic distance estimation is one of the key steps in isometric data embedding. This paper presents a new method to improve the precision of geodesic distance estimation. Different from the previous methods, the new method enlarges the searching area for approximate geodesic curve from local neighborhood edges to locally linear patches, which naturally leads to more precise geodesic distance estimation. Experiment results evidently show the improvement brought by the new method.
KW - Geodesic distance estimation
KW - Isometric data embedding
KW - Neighborhood graph
KW - Nonlinear dimensionality reduction
UR - https://www.scopus.com/pages/publications/71549161815
U2 - 10.1109/ISSPIT.2007.4458006
DO - 10.1109/ISSPIT.2007.4458006
M3 - 会议稿件
AN - SCOPUS:71549161815
SN - 9781424418350
T3 - ISSPIT 2007 - 2007 IEEE International Symposium on Signal Processing and Information Technology
SP - 851
EP - 854
BT - ISSPIT 2007 - 2007 IEEE International Symposium on Signal Processing and Information Technology
T2 - ISSPIT 2007 - 2007 IEEE International Symposium on Signal Processing and Information Technology
Y2 - 15 December 2007 through 18 December 2007
ER -