A Kernel Approach for Vector Quantization with Guaranteed Distortion Bounds

@inproceedings{Tipping2001AKA,
  title={A Kernel Approach for Vector Quantization with Guaranteed Distortion Bounds},
  author={Michael E. Tipping and Bernhard Sch{\"o}lkopf},
  booktitle={AISTATS},
  year={2001}
}
Highly Cited
This paper has 40 citations. REVIEW CITATIONS

From This Paper

Topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 22 extracted citations

Sparse kernelized vector quantization with local dependencies

The 2011 International Joint Conference on Neural Networks • 2011
View 9 Excerpts
Highly Influenced

Detecting objects in large image collections and videos by efficient subimage retrieval

2009 IEEE 12th International Conference on Computer Vision • 2009
View 4 Excerpts
Highly Influenced

Mining tourist routes from Flickr photos

2015 10th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP) • 2015
View 2 Excerpts

Optimal geospatial allocation of volunteers for crisis management

2015 2nd International Conference on Information and Communication Technologies for Disaster Management (ICT-DM) • 2015
View 1 Excerpt

Similar Papers

Loading similar papers…