Kernel Methods

Kernel Methods

1. Kernel Matrix Factorization

   • Supervised kernel nonnegative matrix factorization for face recognition (2016)
   • Kernelized Matrix Factorization for Collaborative Filtering (2016)
   • Feature selection and multi-kernel learning for adaptive graph regularized nonnegative matrix factorization (2016)
   • Face recognition using nonnegative matrix factorization with fractional power inner product kernel (2018)
   • Projected gradient method for kernel discriminant nonnegative matrix factorization and the applications (2010)
   • Online kernel nonnegative matrix factorization (2017)
   • Multiple Kernel Learning via Low-Rank Nonnegative Matrix Factorization for Classification of Hyperspectral Imagery (2015)

2. Class imbalance learning using UnderBagging based kernelized extreme learning machine (2018)

3. Large-Scale Multimodality Attribute Reduction With Multi-Kernel Fuzzy Rough Sets (2018)