The Neyman Pearson detection of microsaccades with maximum likelihood estimation of parameters-Reference-Cited by-同舟云学术

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The Neyman Pearson detection of microsaccades with maximum likelihood estimation of parameters

Published:2019-11-21 Issue:13 Volume:19 Page:17
ISSN:1534-7362
Container-title:Journal of Vision
language:en
Short-container-title:Journal of Vision

Author:

Zhu Hongzhi¹²,Salcudean Septimiu³⁴,Rohling Robert³⁵

Affiliation:

1. School of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada

2. hzhu@ece.ubc.ca

3. Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, Canada

4. tims@ece.ubc.cahttps://www.ece.ubc.ca/faculty/tim-salcudean

5. rohling@ece.ubc.cahttps://www.ece.ubc.ca/faculty/robert-rohling

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Subject

Sensory Systems,Ophthalmology

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Research Progress of Eye Movement Analyses and its Detection Algorithms in Alzheimer’s Disease;Current Alzheimer Research;2024-02

2. Gaze-Guided Class Activation Mapping: Leverage Human Visual Attention for Network Attention in Chest X-rays Classification;Proceedings of the 15th International Symposium on Visual Information Communication and Interaction;2022-08-16

3. Hand-eye coordination-based implicit re-calibration method for gaze tracking on ultrasound machines: a statistical approach;International Journal of Computer Assisted Radiology and Surgery;2020-04-22

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