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» On Sparsity and Overcompleteness in Image Models
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NIPS
2007
13 years 6 months ago
On Sparsity and Overcompleteness in Image Models
Computational models of visual cortex, and in particular those based on sparse coding, have enjoyed much recent attention. Despite this currency, the question of how sparse or how...
Pietro Berkes, Richard Turner, Maneesh Sahani
IJON
2002
85views more  IJON 2002»
13 years 4 months ago
Independent components of natural images under variable compression rate
A generalized ICA model allowing overcomplete bases and additive noises in the observables is applied to natural image data. It is well known that such a model produces independen...
Akio Utsugi
NECO
2007
127views more  NECO 2007»
13 years 4 months ago
Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning
We present a hierarchical architecture and learning algorithm for visual recognition and other visual inference tasks such as imagination, reconstruction of occluded images, and e...
Joseph F. Murray, Kenneth Kreutz-Delgado
ICIP
2009
IEEE
14 years 5 months ago
Color De-quantizing Through Iterated Dynamic Hard Thresholding On An Overcomplete Representation
We propose a new color de-quantizing method for paletted images based on maximizing the sparseness of the overcomplete wavelet analysis of the estimation within the consistency se...
CORR
2008
Springer
99views Education» more  CORR 2008»
13 years 4 months ago
A New Trend in Optimization on Multi Overcomplete Dictionary toward Inpainting
1 Recently, great attention was intended toward overcomplete dictionaries and the sparse representations they can provide. In a wide variety of signal processing problems, sparsity...
Seyyed Majid Valiollahzadeh, Mohammad Nazari, Mass...