Presentation | 2010-05-14 An Analysis of the Impact of a Training Dataset Expansion for Generic Object Recognition Takumi TOYAMA, Koichi KISE, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In the field of pattern recognition, it is well known that the contents of a training dataset affects the recognition performance. Most datasets used in the field of generic object recognition have a somewhat small number of samples per category. Thus, it is reasonable to think that we can acquire higher recognition performance by expanding the dataset. Although several approaches have attempted to increase the number of samples, the amount of these increased samples is about ten thousands which can be increased more to acquire much higher recognition performance. Thus, we collect hundred thousands of images and compare the recognition performance between the dataset with original size and the dataset which is expanded with our dataset expansion method. In addition, we also analyze the impact of using different classifiers for these expanded datasets. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Generic object recognition / Dataset expansion / Filtering / Support Vector Machine / k-Nearest Neighbor |
Paper # | IE2010-40,PRMU2010-28,MI2010-28 |
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Conference Information | |
Committee | MI |
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Conference Date | 2010/5/6(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Medical Imaging (MI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | An Analysis of the Impact of a Training Dataset Expansion for Generic Object Recognition |
Sub Title (in English) | |
Keyword(1) | Generic object recognition |
Keyword(2) | Dataset expansion |
Keyword(3) | Filtering |
Keyword(4) | Support Vector Machine |
Keyword(5) | k-Nearest Neighbor |
1st Author's Name | Takumi TOYAMA |
1st Author's Affiliation | Graduate School of Engineering, Osaka Prefecture University() |
2nd Author's Name | Koichi KISE |
2nd Author's Affiliation | Graduate School of Engineering, Osaka Prefecture University |
Date | 2010-05-14 |
Paper # | IE2010-40,PRMU2010-28,MI2010-28 |
Volume (vol) | vol.110 |
Number (no) | 28 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |