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FMCAD
2000
Springer
15 years 3 months ago
An Algorithm for Strongly Connected Component Analysis in n log n Symbolic Steps
We present a symbolic algorithm for strongly connected component decomposition. The algorithm performs (n log n) image and preimage computations in the worst case, where n is the n...
Roderick Bloem, Harold N. Gabow, Fabio Somenzi
CVPR
2008
IEEE
16 years 1 months ago
Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment
Parameterized Appearance Models (PAMs) (e.g. eigentracking, active appearance models, morphable models) use Principal Component Analysis (PCA) to model the shape and appearance of...
Fernando De la Torre, Minh Hoai Nguyen
ECCV
2002
Springer
16 years 1 months ago
Robust Parameterized Component Analysis
Principal ComponentAnalysis (PCA) has been successfully applied to construct linear models of shape, graylevel, and motion. In particular, PCA has been widely used to model the var...
Fernando De la Torre, Michael J. Black
ICIP
2008
IEEE
16 years 1 months ago
Principal Component Analysis of spectral coefficients for mesh watermarking
This paper proposes a new robust 3-D object blind watermarking method using constraints in the spectral domain. Mesh watermarking in spectral domain has the property of spreading ...
Ming Luo, Adrian G. Bors
ICPR
2006
IEEE
16 years 28 days ago
Texture Segmentation Using Independent Component Analysis of Gabor Features
This paper proposes a novel method for texture segmentation using independent component analysis (ICA) of Gabor features (called ICAG). It has three distinguished aspects. (1) Gab...
Yang Chen, Runsheng Wang