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CVPR
2007
IEEE
16 years 7 days ago
2007
IEEE
Linear Discriminant Analysis (LDA) is a popular statistical approach for dimensionality reduction. LDA captures the global geometric structure of the data by simultaneously maximi...
100
Voted
CVPR
2007
IEEE
16 years 7 days ago
2007
IEEE
In this note, we propose a method to perform segmentation on the tensor manifold, that is, the space of positive definite matrices of given dimension. In this work, we explicitly ...
89
Voted
CVPR
2007
IEEE
16 years 7 days ago
2007
IEEE
This paper presents a novel framework to localize in a photograph prominent irregularities in facial skin, in particular nevi (moles, birthmarks). Their characteristic configurati...
72
Voted
CVPR
2007
IEEE
16 years 7 days ago
2007
IEEE
Pattern variation is a major factor that affects the performance of recognition systems. In this paper, a novel manifold tangent modeling method called Discriminant Additive Tange...
CVPR
2007
IEEE
16 years 7 days ago
2007
IEEE
Kernel machines have recently been considered as a promising solution for implicit surface modelling. A key challenge of machine learning solutions is how to fit implicit shape mo...