Feature representation based on intrinsic structure discovery in high dimensional space
10.1109/ROBOT.2006.1642221
Saved in:
Main Authors: | Ge, S.S., Guan, F., Loh, A.P., Fua, C.H. |
---|---|
Other Authors: | ELECTRICAL & COMPUTER ENGINEERING |
Format: | Conference or Workshop Item |
Published: |
2014
|
Online Access: | http://scholarbank.nus.edu.sg/handle/10635/70324 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
Neighborhood linear embedding for intrinsic structure discovery
by: Ge, S.S., et al.
Published: (2014) -
Incorporating intrinsic structures into entity matching and representation learning
by: LEE, Ween Jiann
Published: (2024) -
Tournament screening cum EBIC for feature selection with high-dimensional feature spaces
by: Chen, Z., et al.
Published: (2014) -
Agent formations in 3D spaces with communication limitations using an adaptive Q-structure
by: Ge, S.S., et al.
Published: (2014) -
Extended Bayesian information criterion in the Cox model with a high-dimensional feature space
by: Luo, Shan, et al.
Published: (2016)