| Presentation | 2007-02-23 Asymptotic Efficiency of Maximum Likelihood Estimation in Face Tracking Model Identification Xin Lu, Kiyoshi Nishiyama, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper discusses the asymptotic efficiency of the maximum likelihood estimation (MLE) when the fece tracking model is specified as vector autoregression (VAR). When the size of the data vector in VAR is enlarged a little, the asymptotic distributions of the estimates by MLE become too wide to satisfy the precision requirement. Consequently, it is necessary to largely increase the quantity of the tested data for shortening the asymptotic distributions and obtaining the suitable estimates. In this paper, we give an explanation of this phenomenon and suggest user to avoid using a very long-term MLE to obtain the estimates of VAR in large size in face tracking. |
| Keyword(in Japanese) | (See Japanese page) |
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| Paper # | PRMU2006-234,HIP2006-127 |
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| Committee | HIP |
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| Conference Date | 2007/2/16(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Human Information Processing (HIP) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Asymptotic Efficiency of Maximum Likelihood Estimation in Face Tracking Model Identification |
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| 1st Author's Name | Xin Lu |
| 1st Author's Affiliation | Department of Computer and Information Sciences, Faculty of Engineering, Iwate University() |
| 2nd Author's Name | Kiyoshi Nishiyama |
| 2nd Author's Affiliation | Department of Computer and Information Sciences, Faculty of Engineering, Iwate University |
| Date | 2007-02-23 |
| Paper # | PRMU2006-234,HIP2006-127 |
| Volume (vol) | vol.106 |
| Number (no) | 541 |
| Page | pp.pp.- |
| #Pages | 5 |
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