AIMC Journal:
IEEE transactions on pattern analysis and machine intelligence

Showing 271 to 280 of 300 articles

Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach.

IEEE transactions on pattern analysis and machine intelligence Aug 10, 2017
Face attribute estimation has many potential applications in video surveillance, face retrieval, and social media. While a number of methods have been proposed for face attribute estimation, most of them did not explicitly consider the attribute corr...
Facial Expression Biometric Identification Female Young Adult Adult Humans Adolescent Neural Networks, Computer Face Databases, Factual Male Deep Learning
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Two-Stream Transformer Networks for Video-Based Face Alignment.

IEEE transactions on pattern analysis and machine intelligence Aug 1, 2017
In this paper, we propose a two-stream transformer networks (TSTN) approach for video-based face alignment. Unlike conventional image-based face alignment approaches which cannot explicitly model the temporal dependency in videos and motivated by the...
Neural Networks, Computer Databases, Factual Deep Learning Humans Face Pattern Recognition, Automated Facial Expression Biometric Identification Image Processing, Computer-Assisted Regression Analysis Video Recording
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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 Databases, Factual Image Processing, Computer-Assisted Humans Face Pattern Recognition, Automated Biometric Identification
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Personalized Age Progression with Bi-Level Aging Dictionary Learning.

IEEE transactions on pattern analysis and machine intelligence May 17, 2017
Age progression is defined as aesthetically re-rendering the aging face at any future age for an individual face. In this work, we aim to automatically render aging faces in a personalized way. Basically, for each age group, we learn an aging diction...
Adolescent Child Image Processing, Computer-Assisted Face Pattern Recognition, Automated Aging Middle Aged Deep Learning Young Adult Humans Adult Aged Male Aged, 80 and over Databases, Factual Female
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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...
Image Processing, Computer-Assisted Video Recording Face Neural Networks, Computer Algorithms Databases, Factual Pattern Recognition, Automated Biometric Identification Humans
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Learning a Deep Model for Human Action Recognition from Novel Viewpoints.

IEEE transactions on pattern analysis and machine intelligence Apr 6, 2017
Recognizing human actions from unknown and unseen (novel) views is a challenging problem. We propose a Robust Non-Linear Knowledge Transfer Model (R-NKTM) for human action recognition from novel views. The proposed R-NKTM is a deep fully-connected ne...
Pattern Recognition, Automated Human Activities Imaging, Three-Dimensional Image Processing, Computer-Assisted Video Recording Humans Neural Networks, Computer Algorithms
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Collaborative Active Visual Recognition from Crowds: A Distributed Ensemble Approach.

IEEE transactions on pattern analysis and machine intelligence Mar 15, 2017
Active learning is an effective way of engaging users to interactively train models for visual recognition more efficiently. The vast majority of previous works focused on active learning with a single human oracle. The problem of active learning wit...
Female Male Image Processing, Computer-Assisted Supervised Machine Learning Pattern Recognition, Automated Crowding Humans Algorithms
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Unsupervised Transfer Learning via Multi-Scale Convolutional Sparse Coding for Biomedical Applications.

IEEE transactions on pattern analysis and machine intelligence Jan 23, 2017
The capabilities of (I) learning transferable knowledge across domains; and (II) fine-tuning the pre-learned base knowledge towards tasks with considerably smaller data scale are extremely important. Many of the existing transfer learning techniques ...
Animals Humans Unsupervised Machine Learning Deep Learning Female Mice Image Interpretation, Computer-Assisted Breast Neoplasms Algorithms Brain Neoplasms Histocytochemistry Databases, Factual
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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:...
Biometric Identification Supervised Machine Learning Cost-Benefit Analysis Face Humans Databases, Factual Algorithms Image Processing, Computer-Assisted
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Supporting One-Time Point Annotations for Gesture Recognition.

IEEE transactions on pattern analysis and machine intelligence Dec 8, 2016
This paper investigates a new annotation technique that reduces significantly the amount of time to annotate training data for gesture recognition. Conventionally, the annotations comprise the start and end times, and the corresponding labels of gest...
Video Recording Gestures Humans Pattern Recognition, Automated Algorithms Image Processing, Computer-Assisted Accelerometry Wearable Electronic Devices Supervised Machine Learning
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