Learning optimal wavelets from overcomplete representations

Representing arbitrarily-shaped regions: a case study of overcomplete representations

Proceedings., International Conference on Image Processing ◽

10.1109/icip.1995.537506 ◽

2002 ◽

Cited By ~ 2

Author(s):

J.G. Apostolopoulos ◽

J.S. Lim

Keyword(s):

Overcomplete Representations

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Local Pseudo-Inverse Matching Pursuit of sparse overcomplete representations

2011 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) ◽

10.1109/icspcc.2011.6061587 ◽

2011 ◽

Cited By ~ 1

Author(s):

Longxin Lin ◽

Xiaoxin Li ◽

Zhanrong Chen

Keyword(s):

Matching Pursuit ◽

Pseudo Inverse ◽

Overcomplete Representations

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An EM algorithm for learning sparse and overcomplete representations

Neurocomputing ◽

10.1016/j.neucom.2003.12.002 ◽

2004 ◽

Vol 57 ◽

pp. 469-476 ◽

Cited By ~ 8

Author(s):

Mingjun Zhong ◽

Huanwen Tang ◽

Hongjun Chen ◽

Yiyuan Tang

Keyword(s):

Em Algorithm ◽

Overcomplete Representations

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Further Results on Stable Recovery of Sparse Overcomplete Representations in the Presence of Noise

IEEE Transactions on Information Theory ◽

10.1109/tit.2008.2009812 ◽

2009 ◽

Vol 55 (2) ◽

pp. 888-899 ◽

Cited By ~ 22

Author(s):

Paul Tseng

Keyword(s):

Overcomplete Representations

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Learning sparse, overcomplete representations of time-varying natural images

Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429) ◽

10.1109/icip.2003.1246893 ◽

2004 ◽

Cited By ~ 31

Author(s):

B.A. Olshausen

Keyword(s):

Natural Images ◽

Time Varying ◽

Overcomplete Representations

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Image denoising using learned overcomplete representations

Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429) ◽

10.1109/icip.2003.1247261 ◽

2004 ◽

Author(s):

P. Sallee ◽

B.A. Olshausen

Keyword(s):

Image Denoising ◽

Overcomplete Representations

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Removal of correlated speckle noise using sparse and overcomplete representations

Biomedical Signal Processing and Control ◽

10.1016/j.bspc.2013.05.003 ◽

2013 ◽

Vol 8 (6) ◽

pp. 520-533 ◽

Cited By ~ 11

Author(s):

Bhabesh Deka ◽

Prabin Kumar Bora

Keyword(s):

Speckle Noise ◽

Overcomplete Representations

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Blind source separation of more sources than mixtures using overcomplete representations

IEEE Signal Processing Letters ◽

10.1109/97.752062 ◽

1999 ◽

Vol 6 (4) ◽

pp. 87-90 ◽

Cited By ~ 233

Author(s):

Te-Won Lee ◽

M.S. Lewicki ◽

M. Girolami ◽

T.J. Sejnowski

Keyword(s):

Blind Source Separation ◽

Source Separation ◽

Overcomplete Representations

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Coding Overcomplete Representations of Audio Using the MCLT

Data Compression Conference (dcc 2008) ◽

10.1109/dcc.2008.28 ◽

2008 ◽

Cited By ~ 3

Author(s):

Byung-Jun Yoon ◽

Henrique S. Malvar

Keyword(s):

Overcomplete Representations

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A Shrinkage Learning Approach for Single Image Super-Resolution with Overcomplete Representations

Computer Vision – ECCV 2010 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-15552-9_45 ◽

2010 ◽

pp. 622-635 ◽

Cited By ~ 12

Author(s):

Amir Adler ◽

Yacov Hel-Or ◽

Michael Elad

Keyword(s):

Super Resolution ◽

Learning Approach ◽

Single Image ◽

Image Super Resolution ◽

Single Image Super Resolution ◽

Overcomplete Representations

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