175 search results - page 14 / 35 » Two Subspace Methods to Discriminate Faces and Clutters |
119
Voted
CVPR
2000
IEEE
15 years 4 months ago
2000
IEEE
We formulate face alignment as a model-based parameter estimation problem in this paper. First, we work within a framework that combines two separate subspace models to r epresent...
118
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ICCV
2007
IEEE
16 years 2 months ago
2007
IEEE
Subspace learning based face recognition methods have attracted considerable interests in recent years, including Principal Component Analysis (PCA), Linear Discriminant Analysis ...
113
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ICPR
2008
IEEE
16 years 1 months ago
2008
IEEE
Speaker independent feature extraction is a critical problem in speech recognition. Oriented principal component analysis (OPCA) is a potential solution that can find a subspace r...
112
Voted
PR
2008
15 years 11 days ago
2008
In this paper, we make a study on three Linear Discriminant Analysis (LDA) based methods: Regularized Discriminant Analysis (RDA), Discriminant Common Vectors (DCV) and Maximal Ma...
131
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CGF
2011
14 years 4 months ago
2011
High-dimensional data visualization is receiving increasing interest because of the growing abundance of highdimensional datasets. To understand such datasets, visualization of th...