| N. Huijsmans and N. Sebe. Extended Performance Graphs for Cluster Retrieval. In Proceedings of the International Conference on Computer Vision and Pattern Recognition, volume 1, pages 26--32, 2001. |
....speech transcripts. Figures 7 and 8 shows the precision curves against result size and recall, respectively, in graphical form. Recently, a new performance graph for the evaluation of content based image retrieval systems has been proposed, the extended performance graph for cluster retrieval[4]. It s advantage is the inclusion of generality information, i.e. information about the clustering of the relevant information in the database, into the performance evalution. This is essential if di#erent systems operating on di#erent databases are compared. Unfortunately, the measure cannot be ....
N. Huijsmans and N. Sebe. Extended Performance Graphs for Cluster Retrieval. In Proceedings of the International Conference on Computer Vision and Pattern Recognition, volume 1, pages 26--32, 2001.
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D.P. Huijsmans, N. Sebe, Extended Performance Graphs for Cluster Retrieval. CVPR 2001, I26-31.
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N. Huijsmans and N. Sebe. Extended Performance Graphs for Cluster Retrieval. In Proceedings of the International Conference on Computer Vision and Pattern Recognition, volume 1, pages 26--32, 2001.
No context found.
D. Huijsmans and N. Sebe. Extended performance graphs for cluster retrieval. In Proc. CVPR, volume 1, pages 26--31, Hawaii, December 2001. IEEE.
No context found.
N. Huijsmans and N. Sebe. Extended Performance Graphs for Cluster Retrieval. In Proceedings of the International Conference on Computer Vision and Pattern Recognition, volume 1, pages 26--32, 2001.
No context found.
N. Huijsmans and N. Sebe. Extended Performance Graphs for Cluster Retrieval. In Proceedings of the International Conference on Computer Vision and Pattern Recognition, volume 1, pages 26 32, 2001.
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