185 search results - page 8 / 37 » Learning Sample Subspace with Application to Face Detection |
CORR
2010
Springer
14 years 9 months ago
2010
Springer
Recent work has demonstrated that using a carefully designed dictionary instead of a predefined one, can improve the sparsity in jointly representing a class of signals. This has m...
PAA
2008
14 years 9 months ago
2008
This paper presents a novel approach for online subspace learning based on an incremental version of the nonparametric discriminant analysis (NDA). For many real-world applications...
76
Voted
FGR
2008
IEEE
15 years 4 months ago
2008
IEEE
Linear Discriminant Analysis (LDA) has been a popular method for feature extracting and face recognition. As a supervised method, it requires manually labeled samples for training...
65
Voted
ICCV
2001
IEEE
15 years 11 months ago
2001
IEEE
In this paper we propose a novel inhomogeneous Gibbs model by the minimax entropy principle, and apply it to face modeling. The maximum entropy principle generalizes the statistic...
CVPR
2003
IEEE
15 years 11 months ago
2003
IEEE
This paper presents an algebro-geometric solution to the problem of segmenting an unknown number of subspaces of unknown and varying dimensions from sample data points. We represen...