Online Dictionary Learning on Symmetric Positive Definite Manifolds with Vision Applications

@inproceedings{Zhang2015OnlineDL,
  title={Online Dictionary Learning on Symmetric Positive Definite Manifolds with Vision Applications},
  author={Shengping Zhang and Shiva Kasiviswanathan and Pong C. Yuen and Mehrtash Harandi},
  booktitle={AAAI},
  year={2015}
}
Symmetric Positive Definite (SPD) matrices in the form of region covariances are considered rich descriptors for images and videos. Recent studies suggest that exploiting the Riemannian geometry of the SPD manifolds could lead to improved performances for vision applications. For tasks involving processing large-scale and dynamic data in computer vision, the underlying model is required to progressively and efficiently adapt itself to the new and unseen observations. Motivated by these… CONTINUE READING
Highly Cited
This paper has 52 citations. REVIEW CITATIONS

From This Paper

Figures, tables, results, connections, and topics extracted from this paper.
28 Extracted Citations
36 Extracted References
Similar Papers

Citing Papers

Publications influenced by this paper.
Showing 1-10 of 28 extracted citations

52 Citations

010202015201620172018
Citations per Year
Semantic Scholar estimates that this publication has 52 citations based on the available data.

See our FAQ for additional information.

Referenced Papers

Publications referenced by this paper.
Showing 1-10 of 36 references

Similar Papers

Loading similar papers…