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» Invariant representation in image processing
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1630views
16 years 8 months ago
Vision: a computational investigation into the human representation and processing of visual information
"What does it mean, to see? The plain man's answer (and Aristotle's, too) would be, to know what is where by looking. In other words, vision is the process of discov...
David Marr
CVPR
2011
IEEE
14 years 5 months ago
Sparse Image Representation with Epitomes
Sparse coding, which is the decomposition of a vector using only a few basis elements, is widely used in machine learning and image processing. The basis set, also called dictiona...
Louise Benoit, Julien Mairal, Francis Bach, Jean P...
ESANN
2007
14 years 11 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
TIP
2010
166views more  TIP 2010»
14 years 8 months ago
Blurred Image Recognition by Legendre Moment Invariants
—Processing blurred images is a key problem in many image applications. Existing methods to obtain blur invariants which are invariant with respect to centrally symmetric blur ar...
Hui Zhang, Huazhong Shu, Guo-Niu Han, Gouenou Coat...
ICIP
2010
IEEE
14 years 7 months ago
A new subspace learning method in Fourier domain for texture classification
This paper proposes a new texture classification approach. There are two main contributions in the proposed method. First, input texture images are transformed to the composite Fo...
Shu Liao, Albert C. S. Chung