AIMC Topic: Biometric Identification

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Automatic face naming by learning discriminative affinity matrices from weakly labeled images.

IEEE transactions on neural networks and learning systems Jan 21, 2015
Given a collection of images, where each image contains several faces and is associated with a few names in the corresponding caption, the goal of face naming is to infer the correct name for each face. In this paper, we propose two new methods to ef...
Names Learning Information Storage and Retrieval Artificial Intelligence Biometric Identification Humans Algorithms Pattern Recognition, Visual Face Pattern Recognition, Automated
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Challenges in representation learning: a report on three machine learning contests.

Neural networks : the official journal of the International Neural Network Society Dec 29, 2014
The ICML 2013 Workshop on Challenges in Representation Learning(1) focused on three challenges: the black box learning challenge, the facial expression recognition challenge, and the multimodal learning challenge. We describe the datasets created for...
Algorithms Biometric Identification Humans Artificial Intelligence
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Towards an intelligent framework for multimodal affective data analysis.

Neural networks : the official journal of the International Neural Network Society Nov 6, 2014
An increasingly large amount of multimodal content is posted on social media websites such as YouTube and Facebook everyday. In order to cope with the growth of such so much multimodal data, there is an urgent need to develop an intelligent multi-mod...
Humans Information Storage and Retrieval Artificial Intelligence Biometric Identification Algorithms
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Frame-by-frame language identification in short utterances using deep neural networks.

Neural networks : the official journal of the International Neural Network Society Sep 3, 2014
This work addresses the use of deep neural networks (DNNs) in automatic language identification (LID) focused on short test utterances. Motivated by their recent success in acoustic modelling for speech recognition, we adapt DNNs to the problem of id...
Neural Networks, Computer Language Speech Biometric Identification Speech Recognition Software
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Rethinking Appearance-Based Deep Gait Recognition: Reviews, Analysis, and Insights From Gait Recognition Evolution.

IEEE transactions on neural networks and learning systems Jun 1, 2025
Gait recognition is a prominent biometric recognition technique extensively employed in public security. Appearance-based and model-based gait recognition are two categories of methods commonly used. Specifically, appearance-based methods, which use ...
Neural Networks, Computer Algorithms Humans Pattern Recognition, Automated Deep Learning Biometric Identification Gait
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Fusion recognition of palmprint and palm vein based on modal correlation.

Mathematical biosciences and engineering : MBE Feb 1, 2024
Biometric authentication prevents losses from identity misuse in the artificial intelligence (AI) era. The fusion method integrates palmprint and palm vein features, leveraging their stability and security and enhances counterfeiting prevention and o...
Artificial Intelligence Biometric Identification Algorithms Learning Hand
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[Modern opportunities of using computer programs and mobile devices in the frame of personality identification].

Sudebno-meditsinskaia ekspertiza Jan 1, 2024
A technology of mobile devices on the basis of Android and iOS sharing, in which previously trained neural networks on the mobile device with the use of the Skull-face program place the reference points in automatic mode with subsequent analysis of t...
Humans Neural Networks, Computer Mobile Applications Biometric Identification Software Image Processing, Computer-Assisted
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Increased Risks of Re-identification For Patients Posed by Deep Learning-Based ECG Identification Algorithms.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
ECGs analysis is an important tool in cardiac diagnosis. ECG data also have the potential to be used as a biometric source that allows precise person identification similar to the widely used fingerprint and iris recognition techniques. However, this...
Deep Learning Electrocardiography Biometric Identification Ventricular Premature Complexes Humans Algorithms
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ECG-based Biometric Recognition without QRS Segmentation: A Deep Learning-Based Approach.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Electrocardiogram (ECG)-based identification systems have been widely studied in the literature. Usually, an ECG trace needs to be segmented according to the detected R peaks to enable feature extraction from the ECGs of duration equal to nearly one ...
Deep Learning Electrocardiography Humans Algorithms Biometric Identification Biometry
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Passive imaging at 250 GHz for detection of face presentation attacks.

Optics express Jan 18, 2021
Face presentation attacks are becoming more efficient since new 3D facial masks are used. Passive terahertz imaging offers specific physical properties that may improve presentation attack detection capabilities. The non-zero transmission capability ...
Facial Recognition Imaging, Three-Dimensional Image Processing, Computer-Assisted Neural Networks, Computer Surface Properties Algorithms Biometric Identification Humans
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