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\n  \n 2005\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n The pyramid match kernel: discriminative classification with sets of image features.\n \n \n \n \n\n\n \n Grauman, K.; and Darrell, T.\n\n\n \n\n\n\n In Tenth IEEE International Conference on Computer Vision (ICCV'05), pages 1458–1465, 2005. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"ThePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{Grauman:2005iu,\nauthor = {Grauman, Kristen and Darrell, Trevor},\ntitle = {{The pyramid match kernel: discriminative classification with sets of image features}},\nbooktitle = {Tenth IEEE International Conference on Computer Vision (ICCV'05)},\nyear = {2005},\npages = {1458--1465},\npublisher = {IEEE},\nannote = {Great idea to compare two bags of features.\n\nSome details.\n\nIn 3.3, the Mercer's condition is proved for K tilde, not K. But this should not matter, since we already get a \\phi for K tilde (P), then we can define the \\phi'(P) for K as \\phi(P) / \\sqrt{K tilde (P,P)}.},\nkeywords = {classics},\ndoi = {10.1109/ICCV.2005.239},\nisbn = {0-7695-2334-X},\nread = {Yes},\nrating = {5},\ndate-added = {2017-02-15T04:36:31GMT},\ndate-modified = {2017-02-17T20:20:26GMT},\nurl = {http://ieeexplore.ieee.org/document/1544890/},\nlocal-url = {file://localhost/Users/yimengzh/Documents/Papers3_revised/Library.papers3/Articles/2005/Grauman/ICCV%202005%202005%20Grauman.pdf},\nfile = {{ICCV 2005 2005 Grauman.pdf:/Users/yimengzh/Documents/Papers3_revised/Library.papers3/Articles/2005/Grauman/ICCV 2005 2005 Grauman.pdf:application/pdf}},\nuri = {\\url{papers3://publication/doi/10.1109/ICCV.2005.239}}\n}\n
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