AIMC Journal:
IEEE transactions on pattern analysis and machine intelligence

Showing 251 to 260 of 300 articles

On the Reconstruction of Face Images from Deep Face Templates.

IEEE transactions on pattern analysis and machine intelligence Apr 16, 2018
State-of-the-art face recognition systems are based on deep (convolutional) neural networks. Therefore, it is imperative to determine to what extent face templates derived from deep networks can be inverted to obtain the original face image. In this ...
Humans Image Processing, Computer-Assisted Face Biometric Identification Neural Networks, Computer Algorithms Databases, Factual
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Visual Kinship Recognition of Families in the Wild.

IEEE transactions on pattern analysis and machine intelligence Apr 13, 2018
We present the largest database for visual kinship recognition, Families In the Wild (FIW), with over 13,000 family photos of 1,000 family trees with 4-to-38 members. It took only a small team to build FIW with efficient labeling tools and work-flow....
Female Photography Male Family Relations Deep Learning Face Family Characteristics Pattern Recognition, Automated Cluster Analysis Family Supervised Machine Learning Neural Networks, Computer Algorithms Databases, Factual Humans
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Analysis of Spatio-Temporal Representations for Robust Footstep Recognition with Deep Residual Neural Networks.

IEEE transactions on pattern analysis and machine intelligence Jan 30, 2018
Human footsteps can provide a unique behavioural pattern for robust biometric systems. We propose spatio-temporal footstep representations from floor-only sensor data in advanced computational models for automatic biometric verification. Our models d...
Foot Databases, Factual Deep Learning Video Recording Pattern Recognition, Automated Pressure Biometric Identification Humans
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Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-Noises.

IEEE transactions on pattern analysis and machine intelligence Jan 17, 2018
Discriminative methods commonly produce models with relatively good generalization abilities. However, this advantage is challenged in real-world applications (e.g., medical image analysis problems), in which there often exist outlier data points (sa...
Image Interpretation, Computer-Assisted Neuroimaging Neurodegenerative Diseases Supervised Machine Learning Humans Algorithms Databases, Factual Brain ROC Curve Discriminant Analysis
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EAC-Net: Deep Nets with Enhancing and Cropping for Facial Action Unit Detection.

IEEE transactions on pattern analysis and machine intelligence Jan 10, 2018
In this paper, we propose a deep learning based approach for facial action unit (AU) detection by enhancing and cropping regions of interest of face images. The approach is implemented by adding two novel nets (a.k.a. layers): the enhancing layers an...
Databases, Factual Female Young Adult Humans Neural Networks, Computer Face Facial Expression Image Enhancement Male Deep Learning Image Processing, Computer-Assisted Biometric Identification
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CROification: Accurate Kernel Classification with the Efficiency of Sparse Linear SVM.

IEEE transactions on pattern analysis and machine intelligence Dec 19, 2017
Kernel methods have been shown to be effective for many machine learning tasks such as classification and regression. In particular, support vector machines with the Gaussian kernel have proved to be powerful classification tools. The standard way to...
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Tracking Gaze and Visual Focus of Attention of People Involved in Social Interaction.

IEEE transactions on pattern analysis and machine intelligence Dec 13, 2017
The visual focus of attention (VFOA) has been recognized as a prominent conversational cue. We are interested in estimating and tracking the VFOAs associated with multi-party social interactions. We note that in this type of situations the participan...
Databases, Factual Female Male Eye Movements Interpersonal Relations Humans Robotics Fixation, Ocular Machine Learning Attention Bayes Theorem Psychophysics Algorithms Markov Chains Normal Distribution
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Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans.

IEEE transactions on pattern analysis and machine intelligence Dec 12, 2017
Robust and fast detection of anatomical structures is a prerequisite for both diagnostic and interventional medical image analysis. Current solutions for anatomy detection are typically based on machine learning techniques that exploit large annotate...
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HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition.

IEEE transactions on pattern analysis and machine intelligence Dec 8, 2017
We present an algorithm for simultaneous face detection, landmarks localization, pose estimation and gender recognition using deep convolutional neural networks (CNN). The proposed method called, HyperFace, fuses the intermediate layers of a deep CNN...
Image Processing, Computer-Assisted Posture Pattern Recognition, Automated Female Humans Gender Identity Male Face Algorithms Deep Learning
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Efficient Group-n Encoding and Decoding for Facial Age Estimation.

IEEE transactions on pattern analysis and machine intelligence Dec 4, 2017
Different ages are closely related especially among the adjacent ages because aging is a slow and extremely non-stationary process with much randomness. To explore the relationship between the real age and its adjacent ages, an age group-n encoding (...
Databases, Factual Age Factors Female Face Young Adult Neural Networks, Computer Algorithms Deep Learning Adult Humans Adolescent Male Image Processing, Computer-Assisted Middle Aged
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