Sparse dictionary learning

Sparse dictionary learning is a representation learning method which aims at finding a sparse representation of the input data (also known as sparse… (More)
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Topic mentions per year

2007-2018
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Papers overview

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2016
2016
This paper presents a novel double sparse dictionary learning method for the image upscaling which aim is to recover a high… (More)
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2016
2016
Sparse coding or sparse dictionary learning methods have exposed underlying sparse structure in many kinds of natural data. Here… (More)
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2015
2015
In this paper, the effect of temporal autocorrelations in functional magnetic resonance imaging (fMRI) data on sparse dictionary… (More)
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2014
2014
In the synthesis model signals are represented as a sparse combinations of atoms from a dictionary. Dictionary learning describes… (More)
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2014
2014
We introduce a method of sparse dictionary learning for edit propagation of high-resolution images or video. Previous approaches… (More)
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2014
2014
The existing dictionary learning methods mostly focus on ID signals, leading to the disadvantage of incurring overload of memory… (More)
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2014
2014
This work examines a sparse dictionary learning task - that of fitting a collection of data points, arranged as columns of a… (More)
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2014
2014
Quantitative measurements from segmentations of human brain magnetic resonance (MR) images provide important biomarkers for… (More)
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2011
2011
Dictionary learning is a challenging theme in computer vision. The basic goal is to learn a sparse representation from an… (More)
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2010
2010
Statistical parametric mapping (SPM) of functional magnetic resonance imaging (fMRI) uses a canonical hemodynamic response… (More)
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