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Kernel Sparse Representation with Hybrid Regularization for On-Road Traffic Sensor Data Imputation
The problem of missing values (MVs) in traffic sensor data analysis is universal in current intelligent transportation systems because of various reasons, such as sensor malfunction, transmission failure, etc. Accurate imputation of MVs is the foundation of subsequent data analysis tasks since most...
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| 出版年: | Sensors (Basel) |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6163639/ https://ncbi.nlm.nih.gov/pubmed/30200348 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18092884 |
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