From 1c388fe9aa111b3a27ceaf3f26f063c7be8d7ac7 Mon Sep 17 00:00:00 2001
From: ageorge <anjith.george@idiap.ch>
Date: Wed, 8 May 2019 16:04:44 +0200
Subject: [PATCH] [doc] remove duplicate reference

---
 doc/running_mccnn.rst | 3 ---
 1 file changed, 3 deletions(-)

diff --git a/doc/running_mccnn.rst b/doc/running_mccnn.rst
index 47ee347..caa8938 100644
--- a/doc/running_mccnn.rst
+++ b/doc/running_mccnn.rst
@@ -112,6 +112,3 @@ Using pretrained models
     platforms, versions of pytorch, non-deterministic nature in GPUs and so on. You can go through the follwing link on how to achive best reproducibility
     in PyTorch `PyTorch Reproducibility <https://pytorch.org/docs/stable/notes/randomness.html>`_. If you wish to reproduce the exact same results in the paper, we suggest 
     you to use the pretrained models shipped with the package.
-
-
-.. [GMGNAM19] *A. George, Z. Mostaani, D. Geissenbuhler, O. Nikisins, A. Anjos, S. Marcel*, **Biometric Face Presentation Attack Detection with Multi-Channel Convolutional Neural Network**,in: IEEE Transactions on Information Forensics & Security, 2019 (Accepted).
\ No newline at end of file
-- 
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