Kernel transform learning

@article{Maggu2017KernelTL,
  title={Kernel transform learning},
  author={Jyoti Maggu and Angshul Majumdar},
  journal={Pattern Recognition Letters},
  year={2017},
  volume={98},
  pages={117-122}
}
Abstract This work proposes kernel transform learning. The idea of dictionary learning is well known; it is a synthesis formulation where a basis is learnt along with the coefficients so as to generate/synthesize the data. Transform learning is its analysis equivalent; the transforms operates/analyses on the data to generate the coefficients. The concept of kernel dictionary learning has been introduced in the recent past, where the dictionary is represented as a linear combination of non… CONTINUE READING

Citations

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SHOWING 1-3 OF 3 CITATIONS

Supervised Kernel Transform Learning

Jyoti Maggu, Angshul Majumdar
  • 2019 International Joint Conference on Neural Networks (IJCNN)
  • 2019
VIEW 2 EXCERPTS
CITES METHODS & BACKGROUND

Transformed Locally Linear Manifold Clustering

  • 2018 26th European Signal Processing Conference (EUSIPCO)
  • 2018
VIEW 1 EXCERPT
CITES BACKGROUND

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