AIMC Topic: Biometry

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Calibrating random forests for probability estimation.

Statistics in medicine Apr 13, 2016
Probabilities can be consistently estimated using random forests. It is, however, unclear how random forests should be updated to make predictions for other centers or at different time points. In this work, we present two approaches for updating ran...
Probability Calibration Biometry Machine Learning Logistic Models Humans
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Body-Based Gender Recognition Using Images from Visible and Thermal Cameras.

Sensors (Basel, Switzerland) Jan 27, 2016
Gender information has many useful applications in computer vision systems, such as surveillance systems, counting the number of males and females in a shopping mall, accessing control systems in restricted areas, or any human-computer interaction sy...
Humans Gender Identity Female Face Artificial Intelligence Biometry Male Pattern Recognition, Automated Algorithms Image Interpretation, Computer-Assisted
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Multiple kernel learning with random effects for predicting longitudinal outcomes and data integration.

Biometrics Jul 14, 2015
Predicting disease risk and progression is one of the main goals in many clinical research studies. Cohort studies on the natural history and etiology of chronic diseases span years and data are collected at multiple visits. Although, kernel-based st...
Statistics, Nonparametric Huntington Disease Alzheimer Disease Biometry Computer Simulation Disease Progression Longitudinal Studies Models, Statistical Support Vector Machine Humans Machine Learning Algorithms
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Acoustic Biometric System Based on Preprocessing Techniques and Linear Support Vector Machines.

Sensors (Basel, Switzerland) Jun 17, 2015
Drawing on the results of an acoustic biometric system based on a MSE classifier, a new biometric system has been implemented. This new system preprocesses acoustic images, extracts several parameters and finally classifies them, based on Support Vec...
Acoustics Biometry Female Male Support Vector Machine Humans Image Processing, Computer-Assisted Signal Processing, Computer-Assisted
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Asymptotic accuracy of Bayesian estimation for a single latent variable.

Neural networks : the official journal of the International Neural Network Society May 8, 2015
In data science and machine learning, hierarchical parametric models, such as mixture models, are often used. They contain two kinds of variables: observable variables, which represent the parts of the data that can be directly measured, and latent v...
Models, Theoretical Regression Analysis Machine Learning Biometry Likelihood Functions Bayes Theorem Data Accuracy
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A support vector machine approach for truncated fingerprint image detection from sweeping fingerprint sensors.

Sensors (Basel, Switzerland) Mar 31, 2015
A sweeping fingerprint sensor converts fingerprints on a row by row basis through image reconstruction techniques. However, a built fingerprint image might appear to be truncated and distorted when the finger was swept across a fingerprint sensor at ...
Biometry Dermatoglyphics Biosensing Techniques Support Vector Machine Pattern Recognition, Automated Humans Artificial Intelligence
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Personalized keystroke dynamics for self-powered human--machine interfacing.

ACS nano Jan 2, 2015
The computer keyboard is one of the most common, reliable, accessible, and effective tools used for human--machine interfacing and information exchange. Although keyboards have been used for hundreds of years for advancing human civilization, studyin...
Biometry Computers Electrical Equipment and Supplies Humans Movement Equipment Design Mechanical Phenomena Artificial Intelligence Fingers
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Adaptive Batch Mode Active Learning.

IEEE transactions on neural networks and learning systems Sep 29, 2014
Active learning techniques have gained popularity to reduce human effort in labeling data instances for inducing a classifier. When faced with large amounts of unlabeled data, such algorithms automatically identify the exemplar and representative ins...
Neural Networks, Computer Biometry Problem-Based Learning Machine Learning Algorithms
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Stroke parameters identification algorithm in handwriting movements analysis by synthesis.

IEEE journal of biomedical and health informatics Apr 21, 2014
This paper presents a new approach to identify the stroke parameters in handwriting movement data understanding. A two-step analysis by synthesis paradigm is employed to facilitate the coarse-to-fine parameter identification for all strokes. One is t...
Reproducibility of Results Sensitivity and Specificity Hand Artificial Intelligence Algorithms Biometry Movement Humans Handwriting Pattern Recognition, Automated Task Performance and Analysis
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Using Machine Learning to Improve Control for Confounding in the Dynamic Weighted Ordinary Least Squares Estimator of Optimal Adaptive Treatment Strategies.

Biometrical journal. Biometrische Zeitschrift Aug 1, 2025
Estimating optimal adaptive treatment strategies (ATSs) can be done in several ways, including dynamic weighted ordinary least squares (dWOLS). This approach is doubly robust as it requires modeling both the treatment and the response, but only one o...
Breast Neoplasms Machine Learning Humans Least-Squares Analysis Female Biometry
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