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Fisher and Kernel Fisher Discriminant Analysis: Tutorial

Fisher and Kernel Fisher Discriminant Analysis: Tutorial

22 June 2019
Benyamin Ghojogh
Fakhri Karray
Mark Crowley
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Papers citing "Fisher and Kernel Fisher Discriminant Analysis: Tutorial"

5 / 5 papers shown
Title
Causal vs. Anticausal merging of predictors
Causal vs. Anticausal merging of predictors
Sergio Hernan Garrido Mejia
Patrick Blobaum
Bernhard Schölkopf
Dominik Janzing
41
0
0
14 Jan 2025
ETran: Energy-Based Transferability Estimation
ETran: Energy-Based Transferability Estimation
Mohsen Gholami
Mohammad Akbari
Xinglu Wang
Behnam Kamranian
Yong Zhang
31
10
0
03 Aug 2023
Effects of Parametric and Non-Parametric Methods on High Dimensional
  Sparse Matrix Representations
Effects of Parametric and Non-Parametric Methods on High Dimensional Sparse Matrix Representations
Sayali Tambe
Raunak Joshi
Abhishek Gupta
Nandan Kanvinde
V. Chitre
24
2
0
07 Feb 2022
Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions,
  Nyström Method, and Use of Kernels in Machine Learning: Tutorial and Survey
Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions, Nyström Method, and Use of Kernels in Machine Learning: Tutorial and Survey
Benyamin Ghojogh
A. Ghodsi
Fakhri Karray
Mark Crowley
27
35
0
15 Jun 2021
Locally Linear Embedding and its Variants: Tutorial and Survey
Locally Linear Embedding and its Variants: Tutorial and Survey
Benyamin Ghojogh
A. Ghodsi
Fakhri Karray
Mark Crowley
30
28
0
22 Nov 2020
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