Multiple Kernel-Based Discriminant Analysis via Support Vectors for Dimension Reduction
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2904037
Abstract: Kernel-based discriminant analysis is an effective nonlinear mechanism for pattern analysis. Conventional kernel-based discriminant analysis mainly based on a single kernel function may be insufficient when dealing with datasets with complicated geometric structures. A combination… read more here.
Keywords: kernel based; discriminant analysis; support vectors; based discriminant ... See more keywords
Novel Bootstrap-Based Discriminant NPE Integrated With Orthogonal LPP for Fault Diagnosis
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3239649
Abstract: It has become a challenge to identify the discriminant information and the local geometric feature from the complex process data for improving fault diagnosis accuracy. Facing this challenge, this article proposes a novel fault diagnosis… read more here.
Keywords: bootstrap based; fault diagnosis; fault; integrated orthogonal ... See more keywords