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» PCA Gaussianization for image processing
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ICIP
2009
IEEE
14 years 9 months ago
A generalized vector-valued total variation algorithm
We propose a simple but flexible method for solving the generalized vector-valued TV (VTV) functional, which includes both the 2 -VTV and 1 -VTV regularizations as special cases, ...
Paul Rodriguez, Brendt Wohlberg
ECCV
2010
Springer
15 years 5 months ago
Fast Covariance Computation and Dimensionality Reduction for Sub-Window Features in Images
This paper presents algorithms for efficiently computing the covariance matrix for features that form sub-windows in a large multidimensional image. For example, several image proc...
CORR
2010
Springer
134views Education» more  CORR 2010»
14 years 10 months ago
The LASSO risk for gaussian matrices
We consider the problem of learning a coefficient vector x0 ∈ RN from noisy linear observation y = Ax0 + w ∈ Rn . In many contexts (ranging from model selection to image proce...
Mohsen Bayati, Andrea Montanari
ICIP
2005
IEEE
16 years 1 months ago
Spatiotemporal-chromatic structure of natural scenes
We investigate the implications of a unified spatiotemporal-chromatic basis for compression and reconstruction of image sequences. Different adaptive methods (PCA and ICA) are app...
Steven Bergner, Mark S. Drew
ICIP
2005
IEEE
16 years 1 months ago
Local manifold matching for face recognition
In this paper, we propose a novel classification method, called local manifold matching (LMM), for face recognition. LMM has great representational capacity of available prototypes...
Wei Liu, Wei Fan, Yunhong Wang, Tieniu Tan