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Multiple Kernel Learning を用いた食べ物画像の分類
| Content Provider | Semantic Scholar |
|---|---|
| Author | 太一, 上東 啓司, 柳井 |
| Copyright Year | 2009 |
| Abstract | Multiple kernel learning has recently been a topic of interest [3, 4]. The setting is the following: given p kernel functions K1, . . . ,Kp that are potentially well suited for a given problem, find a linear combination of these kernels such that the resutling kernel K = ∑ λpKp is ”optimal” in some sense. The aim of this presentation is to revisit some of the proposed approaches and to give both a well founded theoretical justification as well as a en efficient algorithm to learn this linear combination of kernels. |
| Starting Page | 83 |
| Ending Page | 90 |
| Page Count | 8 |
| File Format | PDF HTM / HTML |
| Volume Number | 2009 |
| Alternate Webpage(s) | http://www2.informatik.hu-berlin.de/~kloftmar/talks/kaist.pdf |
| Alternate Webpage(s) | http://img.cs.uec.ac.jp/pub/conf10/100825yaegashi_1_ppt.pdf |
| Alternate Webpage(s) | https://www.cse.iitb.ac.in/~saketh/talks/NIT2010.pdf |
| Alternate Webpage(s) | http://snowbird.djvuzone.org/2007/abstracts/152.pdf |
| Alternate Webpage(s) | http://raetschlab.org/lectures/mkl-tutorial.pdf/at_download/file |
| Alternate Webpage(s) | http://videolectures.net/site/normal_dl/tag=81705/nipsworkshops2010_obozinski_srf_01.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |