A Reinforcement One-Shot Active Learning Approach for Aircraft Type Recognition

Download or Read eBook A Reinforcement One-Shot Active Learning Approach for Aircraft Type Recognition PDF written by HONGLAN HUANG and published by Infinite Study. This book was released on with total page 11 pages. Available in PDF, EPUB and Kindle.
A Reinforcement One-Shot Active Learning Approach for Aircraft Type Recognition
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Publisher : Infinite Study
Total Pages : 11
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Book Synopsis A Reinforcement One-Shot Active Learning Approach for Aircraft Type Recognition by : HONGLAN HUANG

Book excerpt: Target recognition is an important aspect of air trafc management, but the study on automatic aircraft identication is still in the exploratory stage. Rapid aircraft processing and accurate aircraft type recognition remain challenging tasks due to the high-speed movement of the aircraft against complex backgrounds. Active learning, as a promising research topic of machine learning in recent decades, can use less labeled data to obtain the same model accuracy as supervised learning, which greatly reduces the cost of labeling a dataset.


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