Kernel Fisher discriminant analysis based on a regularized method for multiclassification and application in lithological identification
D Luo, A Liu - Mathematical Problems in Engineering, 2015 - Wiley Online Library
This study aimed to construct a kernel Fisher discriminant analysis (KFDA) method from well
logs for lithology identification purposes. KFDA, via the use of a kernel trick, greatly improves …
logs for lithology identification purposes. KFDA, via the use of a kernel trick, greatly improves …
Promptly pinpointing mobile RFID tags for large-scale internet-of-things
In recent years, RFID has increasingly been found in our daily life with various applications
such as Internet of Things (IoT) and wireless sensor networks. However, considering a large …
such as Internet of Things (IoT) and wireless sensor networks. However, considering a large …
Original and mirror face images and minimum squared error classification for visible light face recognition
R Wang - The Scientific World Journal, 2015 - Wiley Online Library
In real‐world applications, the image of faces varies with illumination, facial expression, and
poses. It seems that more training samples are able to reveal possible images of the faces …
poses. It seems that more training samples are able to reveal possible images of the faces …
Two-Directional Minimum Squared Error Algorithm and Classification Experiments on Face and Building Images
W Huang, X Wang, Y Jiang… - Journal of Computational …, 2015 - ingentaconnect.com
Lack of training samples and great varieties of samples usually drop down the performance
of classification. In this paper, we proposed a two-directional minimum squared error …
of classification. In this paper, we proposed a two-directional minimum squared error …