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Stability of feature selection from high-dimensional data is an important and active research area. Ensemble feature selection has emerged as an effective method to improve the stability of feature selection. However, it results in a significant increase of computational cost in many real world applications. In this paper, we propose an improved ensemble feature selection framework using random sampling...
RFID has been gaining popularity for inventory control, object tracking, and supply chain management in warehouses, retail stores, hospitals, etc. Periodically and automatically estimating the number of RFID tags deployed in a large area has many important applications in inventory management and theft detection. The prior work focuses on designing time-efficient algorithms that can estimate tens...
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