| Presentation | 2021-02-12 Applying kernel density estimation to time series data using asymmetric kernel function So Fukai, Keisuke Yamazaki, Yoichi Motomura, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This study proposes several asymmetric kernel functions and their availability of applying to time series data. The kernel density estimation is often used to calculate probability density of the parent population from the sample data. Especially in time series data, probability densities at before and after the event are not always symmetric. But the kernel functions applied in this approach are mostly symmetric and may not reflect the features of the data enough. In this study, asymmetric kernel functions are applied to the travel data of vehicles and the result shows the availability of applying asymmetric kernel functions to time series data. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Kernel Density Estimation / Visualization / KDE / time series / kernel function / Automobile |
| Paper # | AI2020-33 |
| Date of Issue | 2021-02-05 (AI) |
| Conference Information | |
| Committee | AI |
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| Conference Date | 2021/2/12(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Naoki Fukuta(Shizuoka Univ.) |
| Vice Chair | Yuichi Sei(Univ. of Electro-Comm.) / Yuko Sakurai(AIST) |
| Secretary | Yuichi Sei(Nagoya Inst. of Tech.) / Yuko Sakurai(Tokyo Univ. of Agriculture and Technology) |
| Assistant | |
| Paper Information | |
| Registration To | Technical Committee on Artificial Intelligence and Knowledge-Based Processing |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Applying kernel density estimation to time series data using asymmetric kernel function |
| Sub Title (in English) | |
| Keyword(1) | Kernel Density Estimation |
| Keyword(2) | Visualization |
| Keyword(3) | KDE |
| Keyword(4) | time series |
| Keyword(5) | kernel function |
| Keyword(6) | Automobile |
| 1st Author's Name | So Fukai |
| 1st Author's Affiliation | National Institute of Advanced Industrial Science and Technology(AIST) |
| 2nd Author's Name | Keisuke Yamazaki |
| 2nd Author's Affiliation | National Institute of Advanced Industrial Science and Technology(AIST) |
| 3rd Author's Name | Yoichi Motomura |
| 3rd Author's Affiliation | National Institute of Advanced Industrial Science and Technology(AIST) |
| Date | 2021-02-12 |
| Paper # | AI2020-33 |
| Volume (vol) | vol.120 |
| Number (no) | AI-362 |
| Page | pp.pp.56-59(AI), |
| #Pages | 4 |
| Date of Issue | 2021-02-05 (AI) |