KPCA denoising and the pre-image problem revisited. Digital Signal Processing 18 (4), 568-580.A. R. Teixeira, A. M. Tom´e, K. Stadlthanner, E. W. Lang, KPCA denoising and the pre-image problem revisited, Digital Signal Processing 18 (4) (2008) 568-580....
问核主成分分析(KPCA)特征选择EN主成分分析（Principal Component Analysis，PCA）， 是一种降维方法，也...
In this paper, a new technique coined two-dimensional principal component analysis (2DPCA) is developed for image representation. As opposed to PCA, 2DPCA ... Jian,Yang,David,Zhang,Alejandro F,Frangi,... - 《IEEE Transactions on Pattern Analysis & Machine Intelligence》 被引量: 884发表: 200...
Scholkopf BEA (1998a) Kernel pca pattern reconstruction via approximate pre-image. ICANN Springer 17, 147–152. Aizerman M, Braverman E, Rozonoer L (1964) Theoretical foundations of the potential function method in pattern recognition learning. Autom Remote Control 18:821–837 MATH Google Scholar...
Pre-event imagePost-event imageReferencePredictionThe results of quantitative assessments: CitationIf this code or dataset contributes to your research, please kindly consider citing our paper. We appreciate your support!🙂@article{Wu2022Unsupervised, author={Wu, Chen and Chen, Hongruixuan and Du, ...
For finding pre-image, we use iteration method to approximate the pre-image. The experimental results using KPCA n data reconstruction and denoising in speech signal show that it had many potnetial advantages comparing with PCA.Yan HuiZhang Xuegong...
One limitation of KPCA is its inability to define a precise pre-image of the model adapted in the kernel eigenspace, back to the speaker space. Therefore, a huge amount of computations is required to perform adaptation. The previously developed solutions for calculation of an approximate pre-...
Image processingPrincipal component analysisIn this paper, we address the problem of nonlinear fault detection of chemical processes. The objective is to extend our previous work [1] to provide a better performance in terms of fault detection accuracies by developing a pre-image kernel PCA (KPCA...
To improve the quality of the face images, a series of image pre-processing techniques, which include histogram equalization, edge detection and geometrical transformation are used. The ICA based on Kernel Principal Component Analysis (KPCA) and FastICA is employed to extract features, and the ...
Teixeira A R, Tome A M, Stadlthanner K, Lang E W, 2008, "KPCA denoising and the pre-image problem revisited" Digital Signal Processing 18 568-580Teixeira, A.R.; Tome, A.M.; Stadlthanner, K.; Lang, E.W. KPCA denoising and the pre-image problem revisited. Digit. Signal Process. ...