Results 31 to 40 of about 192,804 (181)
Energies, 2022 Aiming at the typical faults in the coal mills operation process, the kernel extreme learning machine diagnosis model based on variational model feature extraction and kernel principal component analysis is offered.
Hui Zhang +9 more
doaj +1 more source
Submarine Threat Degree Assessment Model Based on Hybrid Kernel Principal Component Analysis [PDF]
Jisuanji gongcheng, 2018 Target threat degree assessment is a crucial link in submarine operations.In order to reduce the complexity of the evaluation and improve the accuracy of evaluation,according to the diversity of the target space sources,the submarine threat degree ...
DONG Xue,ZHANG Deping
doaj +1 more source
Clustering of Gamma-Ray bursts through kernel principal component analysis
, 2017 We consider the problem related to clustering of gamma-ray bursts (from "BATSE" catalogue) through kernel principal component analysis in which our proposed kernel outperforms results of other competent kernels in terms of clustering accuracy and we ...
Chattopadhyay, Asis Kumar +2 more
core +1 more source
ECG biometric authentication based on non-fiducial approach using kernel methods [PDF]
, 2016 Identity recognition faces several challenges especially in extracting an individual's unique features from biometric modalities and pattern classifications.
Abdul Aziz, Ahmad Fazli +4 more
core +1 more source
Communication Efficient Distributed Kernel Principal Component Analysis [PDF]
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016 Kernel Principal Component Analysis (KPCA) is a key machine learning algorithm for extracting nonlinear features from data. In the presence of a large volume of high dimensional data collected in a distributed fashion, it becomes very costly to communicate all of this data to a single data center and then perform kernel PCA.
Balcan, Maria-Florina +4 more
openaire +2 more sources
Fault Diagnosis of Wind Turbine Pitch System Based on Multiblock KPCA Algorithm
IEEE Access, 2021 When the wind turbine pitch system is in operation, due to the strong coupling of the internal structure of the system, it is difficult to accurately locate the fault only relying on prior knowledge.
Wu Yun, Hu Xin
doaj +1 more source
Statistical Shape Analysis using Kernel PCA [PDF]
, 2006 ©2006 SPIE--The International Society for Optical Engineering. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or ...
AD Roy +17 more
core +3 more sources
Journal of Robotics, 2021 In order to better realize the orchard intelligent mechanization and reduce the labour intensity of workers, the study of intelligent fruit boxes handling robot is necessary.
Xinning Li +4 more
doaj +1 more source
A novel string representation and kernel function for the comparison of I/O access patterns [PDF]
, 2017 Parallel I/O access patterns act as fingerprints of a parallel program. In order to extract meaningful information from these patterns, they have to be represented appropriately.
B Fryxell +9 more
core +1 more source
Kernel principal component analysis for UWB-based ranging
2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2014 Accurate positioning in harsh environments can enable many application, such as search-and-rescue in emergency situations. For this problem, ultra-wideband (UWB) technology can provide the most accurate range estimates, which are required for range-based positioning.
Savic, Vladimir +3 more
openaire +3 more sources