54 search results - page 10 / 11 » Cost-Sensitive Subspace Learning for Face Recognition |
FGR
2008
IEEE
14 years 2 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...
CORR
2010
Springer
13 years 8 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...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
We present a new approach, called local discriminant embedding (LDE), to manifold learning and pattern classification. In our framework, the neighbor and class relations of data a...
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
ICCV
2007
IEEE
14 years 2 months ago
2007
IEEE
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...