#approximation techniques

Kernel PCA for Out-of-Distribution Detection: Non-Linear Kernel Selection and Approximation

Kun Fang, Qinghua Tao, Mingzhen He +6

The paper proposes a kernel PCA based method for out-of-distribution detection that learns a discriminative non-linear subspace using a newly designed Cosine-Gaussian kernel and in…