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ICCV
2007
IEEE
15 years 4 months ago
Laplacian PCA and Its Applications
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...
Deli Zhao, Zhouchen Lin, Xiaoou Tang
ICCV
2007
IEEE
15 years 4 months ago
Multilinear Projection for Appearance-Based Recognition in the Tensor Framework
Numerical multilinear (tensor) algebra is a principled mathematical approach to disentangling and explicitly and parsimoniously representing the essential factors or modes of imag...
M. Alex O. Vasilescu, Demetri Terzopoulos
ICCV
2007
IEEE
15 years 4 months ago
On the Extraction of Curve Skeletons using Gradient Vector Flow
In this paper, we propose a new variational framework for computing continuous curve skeletons from discrete objects that are suitable for structural shape representation. We have...
M. Sabry Hassouna, Aly A. Farag
ICCV
2007
IEEE
15 years 12 months ago
Illumination and Affine- Invariant Point Matching using an Ordinal Approach
We present an approach for illumination and affineinvariant point matching using ordinal features. Ordinal measures for matching only consider the order between pixels and not the...
Raj Gupta, Anurag Mittal
ICCV
2007
IEEE
15 years 12 months ago
Semi-supervised Discriminant Analysis
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. The projection vectors are commonly obtained by maximizing ...
Deng Cai, Xiaofei He, Jiawei Han