Predicting Auction Price of Vehicle License Plate with Deep Residual Learning
Refereed conference paper presented and published in conference proceedings

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AbstractDue to superstition, license plates with desirable combinations of characters are highly sought after in China, fetching prices that can reach into the millions in government-held auctions. Despite the high stakes involved, there has been essentially no attempt to provide price estimates for license plates.

We present an end-to-end neural network model that simultaneously predict the auction price, gives the distribution of prices and produces latent feature vectors. While both types of neural network architectures we consider outperform simpler machine learning methods, convolutional networks outperform recurrent networks for comparable training time or model complexity. The resulting model powers our online price estimator and search engine.
Acceptance Date11/03/2019
All Author(s) ListChow Yan Chi Vinci
Name of ConferenceThe Pacific-Asia Conference on Knowledge Discovery and Data Mining 2019
Start Date of Conference14/04/2019
End Date of Conference17/04/2019
Place of ConferenceMacau
Country/Region of ConferenceMacau
Proceedings TitleTrends and Applications in Knowledge Discovery and Data Mining
Number in Series11607
PublisherSpringer International Publishing
Pages179 - 188
LanguagesEnglish-United States
KeywordsPrice Estimate, Residual Learning, License Plate

Last updated on 2021-17-09 at 00:11