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RSS FeedsSensors, Vol. 19, Pages 1643: Robust Face Recognition Based on a New Supervised Kernel Subspace Learning Method (Sensors)


6 april 2019 11:04:26

Sensors, Vol. 19, Pages 1643: Robust Face Recognition Based on a New Supervised Kernel Subspace Learning Method (Sensors)

Face recognition is one of the most popular techniques to achieve the goal of figuring out the identity of a person. This study has been conducted to develop a new non-linear subspace learning method named “supervised kernel locality-based discriminant neighborhood embedding,” which performs data classification by learning an optimum embedded subspace from a principal high dimensional space. In this approach, not only nonlinear and complex variation of face images is effectively represented using nonlinear kernel mapping, but local structure information of data from the same class and discriminant information from distinct classes are also simultaneously preserved to further improve final classification performance. Moreover, in order to evaluate the robustness of the proposed method, it was compared with several well-known pattern recognition methods through comprehensive experiments with six publicly accessible datasets. Experiment results reveal that our method consistently outperforms its competitors, which demonstrates strong potential to be implemented in many real-world systems. Digg Facebook Google StumbleUpon Twitter
38 viewsCategory: Chemistry, Physics
Sensors, Vol. 19, Pages 1644: Accelerometer-Based Human Fall Detection Using Convolutional Neural Networks (Sensors)
Sensors, Vol. 19, Pages 1642: Ultrasonic Detection Method for Grouted Defects in Grouted Splice Sleeve Connector Based on Wavelet Pack Energy (Sensors)
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