Order-Constrained ROC Regression With Application to Facial Recognition

The receiver operating characteristic (ROC) curve is widely used to assess discriminative accuracy of two groups based on a continuous score. In a variety of applications, the distributions of such...

[1]  Donghui Chen,et al.  Nonnegativity constraints in numerical analysis , 2009, The Birth of Numerical Analysis.

[2]  Ori Davidov,et al.  Ordinal dominance curve based inference for stochastically ordered distributions , 2012 .

[3]  Bruce A. Draper,et al.  On the effectiveness of soft biometrics for increasing face verification rates , 2015, Comput. Vis. Image Underst..

[4]  Le Kang,et al.  An additive selection of markers to improve diagnostic accuracy based on a discriminatory measure. , 2013, Academic radiology.

[5]  Scott S Emerson,et al.  Nonparametric and Semiparametric Group Sequential Methods for Comparing Accuracy of Diagnostic Tests , 2008, Biometrics.

[6]  Pengfei Li,et al.  Density estimation in the two-sample problem with likelihood ratio ordering , 2017 .

[7]  Alice J. O'Toole,et al.  FRVT 2006 and ICE 2006 large-scale results , 2007 .

[8]  Margaret Sullivan Pepe,et al.  Distribution-free ROC analysis using binary regression techniques. , 2002, Biostatistics.

[9]  Javier Roca-Pardiñas,et al.  ROC curve and covariates: extending induced methodology to the non-parametric framework , 2011, Stat. Comput..

[10]  C. K. Liew,et al.  Inequality Constrained Least-Squares Estimation , 1976 .

[11]  R. A. Hicklin,et al.  Accuracy and reliability of forensic latent fingerprint decisions , 2011, Proceedings of the National Academy of Sciences.

[12]  Inderjit S. Dhillon,et al.  Tackling Box-Constrained Optimization via a New Projected Quasi-Newton Approach , 2010, SIAM J. Sci. Comput..

[13]  徐繼聖.  從Face Recognition Vendor Test (FRVT) 2006看臉部辨?科技近期的考驗 , 2006 .

[14]  Jeremy MG Taylor,et al.  Pointwise nonparametric maximum likelihood estimator of stochastically ordered survivor functions. , 2012, Biometrika.

[15]  Andrew Zisserman,et al.  Deep Face Recognition , 2015, BMVC.

[16]  Anil K. Jain,et al.  Longitudinal study of fingerprint recognition , 2015, Proceedings of the National Academy of Sciences.

[17]  Bruce A. Draper,et al.  Computational Statistics and Data Analysis Introduction to Face Recognition and Evaluation of Algorithm Performance , 2022 .

[18]  Bruce A. Draper,et al.  The Good, the Bad, and the Ugly Face Challenge Problem , 2012, Image and Vision Computing.

[19]  Patrick Grother,et al.  Face Recognition Vendor Test (FRVT) , 2014 .

[20]  Liansheng Larry Tang,et al.  Optimal sampling ratios in comparative diagnostic trials , 2012, Journal of the Royal Statistical Society. Series C, Applied statistics.

[21]  Pengfei Li,et al.  Using a Monotonic Density Ratio Model to Find the Asymptotically Optimal Combination of Multiple Diagnostic Tests , 2016 .

[22]  Patrick J. Flynn,et al.  Lessons from collecting a million biometric samples , 2015, 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).

[23]  M S Pepe,et al.  Three approaches to regression analysis of receiver operating characteristic curves for continuous test results. , 1998, Biometrics.

[24]  Shyamal D Peddada,et al.  Incorporating Historical Control Data When Comparing Tumor Incidence Rates , 2007, Journal of the American Statistical Association.

[25]  Miguel de Carvalho,et al.  Bayesian nonparametric ROC regression modeling , 2013 .

[26]  Wenceslao González-Manteiga,et al.  ROC Curves in Non‐Parametric Location‐Scale Regression Models , 2011 .

[27]  Swami Sankaranarayanan,et al.  Face recognition accuracy of forensic examiners, superrecognizers, and face recognition algorithms , 2018, Proceedings of the National Academy of Sciences.

[28]  J. Hanley,et al.  The meaning and use of the area under a receiver operating characteristic (ROC) curve. , 1982, Radiology.

[29]  Xiao-Hua Zhou,et al.  Composite quantile regression for the receiver operating characteristic curve , 2013 .

[30]  Margaret S. Pepe,et al.  A regression modelling framework for receiver operating characteristic curves in medical diagnostic testing , 1997 .

[31]  R. A. Hicklin,et al.  Repeatability and Reproducibility of Decisions by Latent Fingerprint Examiners , 2012, PloS one.

[32]  M. A. Arcones,et al.  Nonparametric Estimation of a Distribution Subject to a Stochastic Precedence Constraint , 2002 .

[33]  B. Reiser,et al.  Estimation of the area under the ROC curve , 2002, Statistics in medicine.

[34]  Alice J. O'Toole,et al.  Demographic effects on estimates of automatic face recognition performance , 2012, Image Vis. Comput..

[35]  A. R. Jonckheere,et al.  A DISTRIBUTION-FREE k-SAMPLE TEST AGAINST ORDERED ALTERNATIVES , 1954 .

[36]  J R Fielding,et al.  Bayesian regression methodology for estimating a receiver operating characteristic curve with two radiologic applications: prostate biopsy and spiral CT of ureteral stones. , 2001, Academic radiology.

[37]  Aiyi Liu,et al.  Sample size recalculation in sequential diagnostic trials. , 2010, Biostatistics.

[38]  E. Lehmann.  Ordered Families of Distributions , 1955 .

[39]  Dylan S. Small,et al.  Nonparametric maximum likelihood estimation under a likelihood ratio order , 2019, 1904.12321.

[40]  Masaaki Kijima,et al.  Stochastic orders and their applications in financial optimization , 1999, Math. Methods Oper. Res..

[41]  Dewei Wang,et al.  NONPARAMETRIC GOODNESS-OF-FIT TESTS FOR UNIFORM STOCHASTIC ORDERING. , 2017, Annals of statistics.

[42]  Ori Davidov,et al.  Order-Restricted Inference for Multivariate Binary Data With Application to Toxicology , 2011, Journal of the American Statistical Association.