Presentation | 2014/7/25 Active Learning Based on Geographical Orientation for Automatic Transportation Mode Estimation BRENDAN COWAN, YOSHIHIKO SUHARA, HIROYUKI TODA, YOSHIMASA KOIKE, |
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Abstract(in English) | We focus on the automatic transportation estimation task, which automatically estimates transportation modes given GPS trajectories of a user. Previous works have used supervised learning frameworks to estimate transportation modes and have reported that it achieves certain performances. However, the main drawback of supervised learning is the requirement of a significant amount of labeled data. Active learning is an effective solution to this problem. Although many studies have developed a wide variety of active learning algorithms, it has previously been unclear as to whether active learning works well for the automatic transportation mode estimation task. In addition, no previous work reveals which aspects are useful for selecting better instances in terms of model improvement for this task. We propose a novel aspect, geographical orientation, to develop a semi-stream-based active learning method. Our method takes into account geographical distance and density separately from the information based solely on feature space. |
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Paper # | Vol.2014-DBS-159 No.4,Vol.2014-IFAT-115 No.4 |
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Committee | DE |
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Conference Date | 2014/7/25(1days) |
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Registration To | Data Engineering (DE) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
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Title (in English) | Active Learning Based on Geographical Orientation for Automatic Transportation Mode Estimation |
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1st Author's Name | BRENDAN COWAN |
1st Author's Affiliation | University of Alberta() |
2nd Author's Name | YOSHIHIKO SUHARA |
2nd Author's Affiliation | NTT Service Evolution Laboratories, NTT Corporation |
3rd Author's Name | HIROYUKI TODA |
3rd Author's Affiliation | NTT Service Evolution Laboratories, NTT Corporation |
4th Author's Name | YOSHIMASA KOIKE |
4th Author's Affiliation | NTT Service Evolution Laboratories, NTT Corporation |
Date | 2014/7/25 |
Paper # | Vol.2014-DBS-159 No.4,Vol.2014-IFAT-115 No.4 |
Volume (vol) | vol.114 |
Number (no) | 173 |
Page | pp.pp.- |
#Pages | 6 |
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