185 search results - page 8 / 37 » Learning Sample Subspace with Application to Face Detection |
110
click to vote
CORR
2010
Springer
14 years 12 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...
111
click to vote
PAA
2008
14 years 11 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...
FGR
2008
IEEE
15 years 6 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...
ICCV
2001
IEEE
16 years 1 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
16 years 1 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...