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EURASIP Journal on Advances in Signal Processing
Figure 1 | EURASIP Journal on Advances in Signal Processing

Figure 1

From: One-class kernel subspace ensemble for medical image classification

Figure 1

Illustration of KPCA preimage learning. The sample x in the original space is first mapped into the kernel space by kernel mapping φ(·), then PCA is used to project φ(x) into P(φ(x)), which is a point in a PCA subspace. Preimage learning is used to find the preimage x ̂ of x in the original input space from P(φ(x)).

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