LPiTrack: eye movement pattern recognition algorithm and application to biometric identification
DOI10.1007/s10994-017-5649-1zbMath1457.68252OpenAlexW2734232040WikidataQ57836123 ScholiaQ57836123MaRDI QIDQ1707478
Subhadeep Mukhopadhyay, Shinjini Nandi
Publication date: 3 April 2018
Published in: Machine Learning (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10994-017-5649-1
vector autoregressionbiometric identificationeye movement trajectoryLP comomentsLP momentsLP transformationnon-Gaussian nonlinear modelingnonparametric copula density modeling
Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Pattern recognition, speech recognition (68T10)
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- Greedy function approximation: A gradient boosting machine.
- An introduction to copulas.
- A decision-theoretic generalization of on-line learning and an application to boosting
- Support-vector networks
- The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations
- Linear estimates with polynomial coefficients
- Random forests
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