SetMargin Loss applied to Deep Keystroke Biometrics with Circle Packing
Interpretation

SetMargin Loss applied to Deep Keystroke Biometrics with Circle Packing Interpretation

2 September 2021

Aythami Morales

Julian Fierrez

Ruben Tolosana

Ignacio Serna

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Papers citing "SetMargin Loss applied to Deep Keystroke Biometrics with Circle Packing Interpretation"

14 / 14 papers shown

Title
Type2Branch: Keystroke Biometrics based on a Dual-branch Architecture with Attention Mechanisms and Set2set Loss Nahuel Gonzalez Giuseppe Stragapede R. Vera-Rodríguez Rubén Tolosana 57 1 0 02 May 2024
Keystroke Biometrics in Response to Fake News Propagation in a Global Pandemic Aythami Morales A. Acien Julian Fierrez John V. Monaco Ruben Tolosana R. Vera-Rodríguez J. Ortega-Garcia 50 19 0 15 May 2020
TypeNet: Scaling up Keystroke Biometrics A. Acien John V. Monaco Aythami Morales R. Vera-Rodríguez Julian Fierrez 47 28 0 07 Apr 2020
Actions Speak Louder Than (Pass)words: Passive Authentication of Smartphone Users via Deep Temporal Features Debayan Deb Arun Ross Anil K. Jain K. Prakah-Asante K. Prasad 50 44 0 16 Jan 2019
A Neural Representation of Sketch Drawings David R Ha Douglas Eck 116 868 0 11 Apr 2017
Beyond triplet loss: a deep quadruplet network for person re-identification Weihua Chen Xiaotang Chen Jianguo Zhang Kaiqi Huang 87 1,140 0 06 Apr 2017
In Defense of the Triplet Loss for Person Re-Identification Alexander Hermans Lucas Beyer Bastian Leibe DML 105 3,210 0 22 Mar 2017
Large-Margin Softmax Loss for Convolutional Neural Networks Weiyang Liu Yandong Wen Zhiding Yu Meng Yang CVBM 81 1,456 0 07 Dec 2016
Robust Keystroke Biometric Anomaly Detection John V. Monaco 41 21 0 29 Jun 2016
Deep Linear Discriminant Analysis on Fisher Networks: A Hybrid Architecture for Person Re-identification Lin Wu Chunhua Shen Anton Van Den Hengel 64 209 0 06 Jun 2016
Metric Learning with Adaptive Density Discrimination Oren Rippel Manohar Paluri Piotr Dollar Lubomir D. Bourdev 74 215 0 18 Nov 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering Florian Schroff Dmitry Kalenichenko James Philbin 3DH 388 13,145 0 12 Mar 2015
Scalable Bayesian Optimization Using Deep Neural Networks Jasper Snoek Oren Rippel Kevin Swersky Ryan Kiros N. Satish N. Sundaram Md. Mostofa Ali Patwary P. Prabhat Ryan P. Adams BDL UQCV 95 1,045 0 19 Feb 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,508 0 04 Sep 2014

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