A survey of palmprint recognition
Pattern Recognition
Learning a locality discriminating projection for classification
Knowledge-Based Systems
Graph-optimized locality preserving projections
Pattern Recognition
Emulating biological strategies for uncontrolled face recognition
Pattern Recognition
Feature extraction by learning Lorentzian metric tensor and its extensions
Pattern Recognition
Maximum variance sparse mapping
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
Face Recognition Using Kernel UDP
Neural Processing Letters
The small sample size problem of ICA: A comparative study and analysis
Pattern Recognition
An improved palmprint recognition system using iris features
Journal of Real-Time Image Processing
Local maximal margin discriminant embedding for face recognition
Journal of Visual Communication and Image Representation
Hi-index | 0.14 |
In [1], UDP is proposed to address the limiatation of LPP for the clustering and classification tasks. In this communication, we show that the basic ideas of UDP and LPP are identical. In particular, UDP is just a simplified version of LPP on the assumption that the local density is uniform.