Tensor Sparse Coding for Region Covariances

@inproceedings{Sivalingam2010TensorSC,
  title={Tensor Sparse Coding for Region Covariances},
  author={Ravishankar Sivalingam and Daniel Boley and Vassilios Morellas and Nikolaos Papanikolopoulos},
  booktitle={ECCV},
  year={2010}
}
Sparse representation of signals has been the focus of much research in the recent years. A vast majority of existing algorithms deal with vectors, and higher–order data like images are dealt with by vectorization. However, the structure of the data may be lost in the process, leading to a poorer representation and overall performance degradation. In this paper we propose a novel approach for sparse representation of positive definite matrices, where vectorization will destroy the inherent… CONTINUE READING
Highly Influential
This paper has highly influenced 11 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 98 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 54 extracted citations

Computer Vision – ECCV 2014

Lecture Notes in Computer Science • 2014
View 10 Excerpts
Highly Influenced

Group sparsity based sparse coding for region covariances

2013 21st Signal Processing and Communications Applications Conference (SIU) • 2013
View 4 Excerpts
Highly Influenced

Log-Euclidean Kernels for Sparse Representation and Dictionary Learning

2013 IEEE International Conference on Computer Vision • 2013
View 11 Excerpts
Highly Influenced

Multi-Dimensional Sparse Models

IEEE Transactions on Pattern Analysis and Machine Intelligence • 2018
View 4 Excerpts
Highly Influenced

Relational divergence based classification on Riemannian manifolds

2013 IEEE Workshop on Applications of Computer Vision (WACV) • 2013
View 6 Excerpts
Highly Influenced

98 Citations

0102030'12'14'16'18
Citations per Year
Semantic Scholar estimates that this publication has 98 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 32 references

CVX: Matlab Software for Disciplined Convex Programming, ver

M. Grant, S. Boyd
http://cvxr.com/cvx • 2010
View 1 Excerpt

Metric learning for semi-supervised clustering of Region Covariance Descriptors

2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC) • 2009
View 2 Excerpts

Robust Face Recognition via Sparse Representation

IEEE Transactions on Pattern Analysis and Machine Intelligence • 2009
View 1 Excerpt

An Introduction To Compressive Sampling

IEEE Signal Processing Magazine • 2008
View 1 Excerpt

Gabor-Based Region Covariance Matrices for Face Recognition

IEEE Transactions on Circuits and Systems for Video Technology • 2008
View 1 Excerpt

Similar Papers

Loading similar papers…