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» Linear discriminative image processing operator analysis
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ICIP
2010
IEEE
13 years 6 months ago
Learning simple texture discrimination filters
Current texture analysis methods enable good discrimination but are computationally too expensive for applications which require high frame rates. This occurs because they use red...
Rui F. C. Guerreiro, Pedro M. Q. Aguiar
ICIP
2001
IEEE
14 years 10 months ago
Generalized multiscale connected operators with applications to granulometric image analysis
In this paper, generalized granulometric size distributions and size histograms (a.k.a `pattern spectra') are developed using generalized multiscale lattice operators of the ...
Anastasios D. Doulamis, Nikolaos D. Doulamis, Petr...
ESANN
2001
13 years 10 months ago
Canonical correlation analysis in early vision processing
This paper illustrates how canonical correlation analysis can be used for designing efficient visual operators by learning. The approach is highly task oriented and what constitute...
Magnus Borga, Hans Knutsson
MM
2006
ACM
203views Multimedia» more  MM 2006»
14 years 2 months ago
Learning image manifolds by semantic subspace projection
In many image retrieval applications, the mapping between highlevel semantic concept and low-level features is obtained through a learning process. Traditional approaches often as...
Jie Yu, Qi Tian
ICIP
2004
IEEE
14 years 10 months ago
Sparse representation of images with hybrid linear models
We propose a mixture of multiple linear models, also known as hybrid linear model, for a sparse representation of an image. This is a generalization of the conventional KarhunenLo...
Kun Huang, Allen Y. Yang, Yi Ma