Eigenvalues and eigenvectors are important for image processing because they can reveal useful information about the structure and properties of an image. For example, if you treat an image as a ...

SIAM Journal on Numerical Analysis, Vol. 49, No. 5/6 (2011), pp. 1860-1874 (15 pages) Transmission eigenvalues have important applications in inverse scattering theory. They can be used to obtain ...

The Fine-Grained Visual Categorization (FGVC) is challenging because the subtle inter-class variations are difficult to be captured. One notable research line uses the Global Covariance Pooling (GCP) ...