Results 261 to 270 of about 26,356,550 (281)

Probabilistic Kernel Principal Component Analysis Through Time

2006
This paper introduces a temporal version of Probabilistic Kernel Principal Component Analysis by using a hidden Markov model in order to obtain optimized representations of observed data through time. Recently introduced, Probabilistic Kernel Principal Component Analysis overcomes the two main disadvantages of standard Principal Component Analysis ...
Mauricio A. Álvarez, Ricardo Henao
openaire   +2 more sources

Incremental two-dimensional kernel principal component analysis

Neurocomputing, 2014
In this paper, we propose a new online non-linear feature extraction method, called the incremental two-dimensional kernel principal component analysis (I2DKPCA), not only to reduce the computational cost but also to provide good feature representation. Batch type feature extraction methods such as principal component analysis (PCA) and two-dimensional
Yonghwa Choi, Seiichi Ozawa, Minho Lee 0001   +2 more
openaire   +1 more source

The Accelerated Power Method for Kernel Principal Component Analysis

2011
When faced with the large-scale data set, Kernel principal component analysis (KPCA) is infeasible because of the storage and computational problem. To overcome these disadvantages, an accelerated power method of computing kernel principal components is proposed.
Weiya Shi, Wenhua Zhang
openaire   +1 more source

Penalized Preimage Learning in Kernel Principal Component Analysis

IEEE Transactions on Neural Networks, 2010
Finding the preimage of a feature vector in kernel principal component analysis (KPCA) is of crucial importance when KPCA is applied in some applications such as image preprocessing. Since the exact preimage of a feature vector in the kernel feature space, normally, does not exist in the input data space, an approximate preimage is learned and ...
Wei-Shi Zheng 0001, Jian-Huang Lai, Pong Chi Yuen   +2 more
openaire   +2 more sources

Kernel Principal Component Analysis Pseudoinverse Learning Algorithm

2021 16th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), 2021
Huanan Pu, Fusheng Yu
openaire   +1 more source

Fault monitoring using novel adaptive kernel principal component analysis integrating grey relational analysis

Chemical Engineering Research and Design, 2022
Zhiqiang Geng, Yongming Han, Bo Ma
exaly  

Nonlinear Dynamic Process Monitoring Based on Two-Step Dynamic Local Kernel Principal Component Analysis

Processes, 2022
Hairong Fang, Shan Lu, Zhijiang Lou
exaly  

A multivariate monitoring method based on kernel principal component analysis and dual control chart

Journal of Process Control, 2023
Jianchang Liu, Honghai Wang, Shubin Tan
exaly  

Nonlinear process monitoring using kernel principal component analysis

Chemical Engineering Science, 2004
ChangKyoo Yoo, Peter A. Vanrolleghem, Sang Wook Choi   +2 more
exaly  

Adaptive kernel principal component analysis

Signal Processing, 2010
Zheng Tian, Haixia Xu
exaly