News
F-2D-QPCA: A Quaternion Principal Component Analysis Method for Color Face Recognition - IEEE Xplore
Two-dimensional quaternion principal component analysis (2D-QPCA) is one of the successful dimensionality reduction methods for color face recognition. However, 2D-QPCA is sensitive to outliers. For ...
The majority were flavone and cinnamic acid derivatives, with group-type separations in the 2D space aiding assignment. Notably, several compounds—particularly glycosylated flavones—were reported for ...
PyAutoPlot is an open-source Python library designed to make dataset analysis much easier by generating helpful detailed plots using matplotlib. It automatically generates appropriate plots based on ...
This manuscript presents an important contribution to the field of single-cell transcriptomic analysis in cancer by introducing a novel computational framework-SCellBOW-which applies embedding ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results