185 search results - page 3 / 37 » Learning Sample Subspace with Application to Face Detection |
CVPR
2005
IEEE
15 years 11 months ago
2005
IEEE
Subspace methods such as PCA, LDA, ICA have become a standard tool to perform visual learning and recognition. In this paper we propose Representational Oriented Component Analysi...
WCE
2007
14 years 10 months ago
2007
—Pose problem is a big challenge for applying face recognition technology under real world conditions. In this paper, appearance based approach was proposed to recognize face acr...
93
Voted
ICPR
2006
IEEE
15 years 10 months ago
2006
IEEE
In this paper, we present a method for data classification with application to car/non-car objects. We first developed a sample based car/non-car maximal mutual information low di...
83
Voted
ICCV
2007
IEEE
15 years 4 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...
CVPR
2010
IEEE
14 years 8 months ago
2010
IEEE
Conventional subspace learning-based face recognition aims to attain low recognition errors and assumes same loss from all misclassifications. In many real-world face recognition...