224 search results - page 41 / 45 » Feature Space Hausdorff Distance for Face Recognition |
LREC
2008
14 years 11 months ago
2008
The research field of "extracting knowledge bases from text collections" seems to be mature: its target and its working hypotheses are clear. In this paper we propose a ...
NIPS
2004
14 years 11 months ago
2004
Linear Discriminant Analysis (LDA) is a well-known method for feature extraction and dimension reduction. It has been used widely in many applications such as face recognition. Re...
ECTEL
2006
Springer
15 years 1 months ago
2006
Springer
In this paper, we present a proof of concept application of a technique that is designed explicitly for face to face collaboration software architectures. The objective is to minim...
101
click to vote
PR
2008
14 years 9 months ago
2008
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
ICDAR
2007
IEEE
15 years 4 months ago
2007
IEEE
The Machine Learning and Pattern Recognition communities are facing two challenges: solving the normalization problem, and solving the deep learning problem. The normalization pro...