The changes of face images with poses and polarized illuminations increase data
uncertainty in face recognition. In fact, synthesized mirror samples can be recognized as …

Kernel machine is a feasible and effective nonlinear feature extraction method on data
analysis, for example, hyperspectral sensing data. Kernel trick improves largely the …

Analysis on hyperspectral remote sensing big data is widely in remotely sensed satellite
imaging and aerial reconnaissance, the development of sensor technology brought the …

The kernel minimum squared error (KMSE) is less computationally efficient when applied to
large datasets. In this paper, we propose IKMSE, an algorithm which improves the …