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94
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ICASSP
2011
IEEE
14 years 1 months ago
An unsupervised algorithm for hybrid/morphological signal decomposition
The main contribution presented here is an adaptive/unsupervised iterative thresholding algorithm for sparse representation of signals which can be modeled as the sum of two compo...
Matthieu Kowalski, Thomas Rodet
ICIAR
2005
Springer
15 years 3 months ago
Determining Multiscale Image Feature Angles from Complex Wavelet Phases
In this paper, we introduce a new multiscale representation for 2-D images named the Inter-Coefficient Product (ICP). The ICP is a decimated pyramid of complex values based on the ...
Ryan Anderson, Nick G. Kingsbury, Julien Fauqueur
162
Voted
ACCV
2009
Springer
15 years 8 months ago
Estimating Human Pose from Occluded Images
We address the problem of recovering 3D human pose from single 2D images, in which the pose estimation problem is formulated as a direct nonlinear regression from image observation...
Jia-Bin Huang and Ming-Hsuan Yang
105
Voted
KDD
2012
ACM
183views Data Mining» more  KDD 2012»
13 years 18 days ago
Mining discriminative components with low-rank and sparsity constraints for face recognition
This paper introduces a novel image decomposition approach for an ensemble of correlated images, using low-rank and sparsity constraints. Each image is decomposed as a combination...
Qiang Zhang, Baoxin Li
90
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JMLR
2006
104views more  JMLR 2006»
14 years 10 months ago
Learning Image Components for Object Recognition
In order to perform object recognition it is necessary to learn representations of the underlying components of images. Such components correspond to objects, object-parts, or fea...
Michael W. Spratling