compute_kernel_checkerboard_gaussian

compute_kernel_checkerboard_gaussian(L: int =10 , var: float = 0.5, normalize=True)

Function description

Compute Guassian-like checkerboard kernel

Notebook: C4/C4S4_NoveltySegmentation.ipynb

Parameter

L (int): Parameter specifying the kernel size M=2*L+1

var (float): Variance parameter determing the tapering (epsilon) (Default value = 1.0)

normalize (bool): Normalize kernel (Default value = True)

Return

kernel (np.ndarray): Kernel matrix of size M x M

Example

Inner helper function