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K-SVD
Known as:
KSVD
In applied mathematics, K-SVD is a dictionary learning algorithm for creating a dictionary for sparse representations, via a singular value…
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Related topics
Related topics
8 relations
K-means clustering
Machine learning
Matching pursuit
Nearest neighbor search
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Broader (1)
Linear algebra
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Pigmented skin lesion segmentation based on sparse texture representations
Cesar E. Martínez
,
E. M. Albornoz
Symposium on Medical Information Processing and…
2017
Corpus ID: 40677587
Among the most dangerous cancers, there is the Melanoma that affects millions of people. As this is a type of malignant pigmented…
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2016
2016
Fisher Discriminative Dictionary Learning for Vehicle Classification in Acoustic Sensor Networks
Rui Wang
,
Shuilin Guo
,
Yanping Li
,
You-zheng Zhang
Journal of Signal Processing Systems
2016
Corpus ID: 27118085
In this paper, we propose a discriminative dictionary learning framework for vehicle classification to improve the classification…
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2016
2016
KSVD-SVM Approach for Spontaneous Facial Expression Recognition
D. Chanti
,
A. Caplier
2016
Corpus ID: 64673447
2015
2015
Joint kernel dictionary and classifier learning for sparse coding via locality preserving K-SVD
Weiyang Liu
,
Zhiding Yu
,
Meng Yang
,
Lijia Lu
,
Yuexian Zou
IEEE International Conference on Multimedia and…
2015
Corpus ID: 2282976
We present a locality preserving K-SVD (LP-KSVD) algorithm for joint dictionary and classifier learning, and further incorporate…
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2015
2015
Adaptive transform with HEVC intra coding
Tao Zhang
,
Haoming Chen
,
Ming-Ting Sun
,
A. Saxena
,
Debin Zhao
,
Wen Gao
Asia-Pacific Signal and Information Processing…
2015
Corpus ID: 24030564
This paper proposes a content adaptive transform based on singular value decomposition (SVD) with HEVC intra coding. In the…
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2014
2014
Building a semantic search engine with games and crowdsourcing
Christoph Wieser
2014
Corpus ID: 2707694
Semantic search engines aim at improving conventional search with semantic information, or meta-data, on the data searched for…
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2013
2013
Non-rigid 3D shape recognition via dictionary learning
Yin Zhou
,
Kai Liu
,
K. Barner
IEEE International Conference on Acoustics…
2013
Corpus ID: 2687543
Non-rigid 3D shape recognition is an important and challenging research topic in computer vision and pattern recognition. This…
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2010
2010
A Data-Driven fMRI Analysis using K-SVD Sparse Dictionary Learning
J. C. Ye
,
Kangjoo Lee
2010
Corpus ID: 67027594
Introduction: Statistical parametric mapping (SPM) is widely used for the statistical analysis of brain activity with fMRI…
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2008
2008
Improving the k-svd facial image compression using a linear deblocking method
O. Bryt
,
Michael Elad
IEEE Convention of Electrical and Electronics…
2008
Corpus ID: 15603149
The use of sparse representations in signal processing is gradually increasing in the past several years. In a previous work we…
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2007
2007
Denoising using the K-SVD Method
Priyam Chatterjee
2007
Corpus ID: 61250231
Sparse representation of images has been a recent area of growing interest. It finds applications in many problems in image…
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