AIMC Topic: Biometric Identification

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Learning from Ambiguously Labeled Face Images.

IEEE transactions on pattern analysis and machine intelligence Jul 4, 2017
Learning a classifier from ambiguously labeled face images is challenging since training images are not always explicitly-labeled. For instance, face images of two persons in a news photo are not explicitly labeled by their names in the caption. We p...
Machine Learning Algorithms Face Humans Pattern Recognition, Automated Biometric Identification Databases, Factual Image Processing, Computer-Assisted
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Discriminative Deep Metric Learning for Face and Kinship Verification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jun 20, 2017
This paper presents a new discriminative deep metric learning (DDML) method for face and kinship verification in wild conditions. While metric learning has achieved reasonably good performance in face and kinship verification, most existing metric le...
Machine Learning Algorithms Face Humans Neural Networks, Computer Family Pattern Recognition, Automated Biometric Identification
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Simultaneous Feature and Dictionary Learning for Image Set Based Face Recognition.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jun 8, 2017
In this paper, we propose a simultaneous feature and dictionary learning (SFDL) method for image set-based face recognition, where each training and testing example contains a set of face images, which were captured from different variations of pose,...
Biometric Identification Machine Learning Algorithms Image Processing, Computer-Assisted Face Databases, Factual Humans
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Trunk-Branch Ensemble Convolutional Neural Networks for Video-Based Face Recognition.

IEEE transactions on pattern analysis and machine intelligence May 2, 2017
Human faces in surveillance videos often suffer from severe image blur, dramatic pose variations, and occlusion. In this paper, we propose a comprehensive framework based on Convolutional Neural Networks (CNN) to overcome challenges in video-based fa...
Pattern Recognition, Automated Biometric Identification Video Recording Face Humans Neural Networks, Computer Databases, Factual Image Processing, Computer-Assisted Algorithms
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Semi-Supervised Sparse Representation Based Classification for Face Recognition With Insufficient Labeled Samples.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Mar 1, 2017
This paper addresses the problem of face recognition when there is only few, or even only a single, labeled examples of the face that we wish to recognize. Moreover, these examples are typically corrupted by nuisance variables, both linear (i.e., add...
Pattern Recognition, Automated Biometric Identification Supervised Machine Learning Face Humans Male Algorithms Female Image Processing, Computer-Assisted
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A Hypergraph and Arithmetic Residue-based Probabilistic Neural Network for classification in Intrusion Detection Systems.

Neural networks : the official journal of the International Neural Network Society Feb 17, 2017
Over the past few decades, the design of an intelligent Intrusion Detection System (IDS) remains an open challenge to the research community. Continuous efforts by the researchers have resulted in the development of several learning models based on A...
Neural Networks, Computer Biometric Identification
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Application of structured support vector machine backpropagation to a convolutional neural network for human pose estimation.

Neural networks : the official journal of the International Neural Network Society Feb 16, 2017
In this study, for the first time, we show how to formulate a structured support vector machine (SSVM) as two layers in a convolutional neural network, where the top layer is a loss augmented inference layer and the bottom layer is the normal convolu...
Posture Biometric Identification Neural Networks, Computer Support Vector Machine Humans
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Understanding human intention by connecting perception and action learning in artificial agents.

Neural networks : the official journal of the International Neural Network Society Feb 11, 2017
To develop an advanced human-robot interaction system, it is important to first understand how human beings learn to perceive, think, and act in an ever-changing world. In this paper, we propose an intention understanding system that uses an Object A...
Neural Networks, Computer Support Vector Machine Humans Biometric Identification Movement Posture Intention
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Active Self-Paced Learning for Cost-Effective and Progressive Face Identification.

IEEE transactions on pattern analysis and machine intelligence Jan 16, 2017
This paper aims to develop a novel cost-effective framework for face identification, which progressively maintains a batch of classifiers with the increasing face images of different individuals. By naturally combining two recently rising techniques:...
Databases, Factual Image Processing, Computer-Assisted Humans Algorithms Supervised Machine Learning Face Biometric Identification Cost-Benefit Analysis
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Online 3D Ear Recognition by Combining Global and Local Features.

PloS one Dec 9, 2016
The three-dimensional shape of the ear has been proven to be a stable candidate for biometric authentication because of its desirable properties such as universality, uniqueness, and permanence. In this paper, a special laser scanner designed for onl...
Datasets as Topic Biometric Identification Lasers Ear Humans Machine Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted
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