From 9dbd6bc506f213eb17f87a6f2016701f3b9915f8 Mon Sep 17 00:00:00 2001
From: Kanissh <44309040+kanissh@users.noreply.github.com>
Date: Tue, 21 Jun 2022 19:27:22 +0530
Subject: [PATCH] Updated link to reference

Updated link to reference "Random Fourier approximations for skewed multiplicative histogram kernels"
---
 doc/modules/kernel_approximation.rst | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/doc/modules/kernel_approximation.rst b/doc/modules/kernel_approximation.rst
index 7b46d19cb52ad..2a192d5f4273a 100644
--- a/doc/modules/kernel_approximation.rst
+++ b/doc/modules/kernel_approximation.rst
@@ -237,9 +237,9 @@ or store training examples.
       <https://papers.nips.cc/paper/2007/hash/013a006f03dbc5392effeb8f18fda755-Abstract.html>`_
       Rahimi, A. and Recht, B. - Advances in neural information processing 2007,
     .. [LS2010] `"Random Fourier approximations for skewed multiplicative histogram kernels"
-      <https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.227.1802&rep=rep1&type=pdf>`_
-      Random Fourier approximations for skewed multiplicative histogram kernels
-      - Lecture Notes for Computer Sciencd (DAGM)
+      <https://www.researchgate.net/publication/221114584_Random_Fourier_Approximations_for_Skewed_Multiplicative_Histogram_Kernels>`_
+      Li, F., Ionescu, C., and Sminchisescu, C.
+      - Pattern Recognition,  DAGM 2010, Lecture Notes in Computer Science. 
     .. [VZ2010] `"Efficient additive kernels via explicit feature maps"
       <https://www.robots.ox.ac.uk/~vgg/publications/2011/Vedaldi11/vedaldi11.pdf>`_
       Vedaldi, A. and Zisserman, A. - Computer Vision and Pattern Recognition 2010