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» Sparse Image Reconstruction using Sparse Priors
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PAMI
2012
13 years 6 months ago
Face Recognition Using Sparse Approximated Nearest Points between Image Sets
—We propose an efficient and robust solution for image set classification. A joint representation of an image set is proposed which includes the image samples of the set and thei...
Yiqun Hu, Ajmal S. Mian, Robyn A. Owens
JMLR
2010
155views more  JMLR 2010»
14 years 10 months ago
Structured Sparse Principal Component Analysis
We present an extension of sparse PCA, or sparse dictionary learning, where the sparsity patterns of all dictionary elements are structured and constrained to belong to a prespeci...
Rodolphe Jenatton, Guillaume Obozinski, Francis Ba...
ICASSP
2010
IEEE
15 years 3 months ago
Hierarchical dictionary learning for invariant classification
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
Leah Bar, Guillermo Sapiro
ICIP
2009
IEEE
16 years 4 months ago
Wavelet-based Parallel Mri Regularization Using Bivariate Sparsity Promoting Priors
Parallel magnetic resonance imaging (pMRI) using multiple receiver coils has emerged as a powerful 3D imaging technique for reducing scanning time or increasing image resolution. ...
ICIP
2008
IEEE
15 years 10 months ago
Atomic decomposition dedicated to AVC and spatial SVC prediction
In this work, we propose the use of sparse signal representation techniques to solve the problem of closed-loop spatial image prediction. The reconstruction of signal in the block...
Aurelie Martin, Jean-Jacques Fuchs, Christine Guil...