Multiple kernel dimensionality reduction via ratio-trace and marginal Fisher analysis

DOI10.1155/2019/6941475zbMath1435.62251OpenAlexW2909057817MaRDI QIDQ2298714

Xin Wang, Mingming Liu, Hongxia Xie, Yongguo Yang, Chujiao Wang, Hui Xu

Publication date: 20 February 2020

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2019/6941475

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Nonparametric estimation (62G05)

Cites Work

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• Dimensionality reduction by mixed kernel canonical correlation analysis
• Self-taught dimensionality reduction on the high-dimensional small-sized data
• A trace ratio maximization approach to multiple kernel-based dimensionality reduction
• The Trace Ratio Optimization Problem
• Semi-Infinite Programming: Theory, Methods, and Applications
• Regularized Discriminative Spectral Regression Method for Heterogeneous Face Matching

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