AIMC Topic: Pattern Recognition, Automated

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An EM Algorithm for Capsule Regression.

Neural computation Oct 20, 2020
We investigate a latent variable model for multinomial classification inspired by recent capsule architectures for visual object recognition (Sabour, Frosst, & Hinton, 2017). Capsule architectures use vectors of hidden unit activities to encode the p...
Humans Pattern Recognition, Automated Neural Networks, Computer Algorithms
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CEGAN: Classification Enhancement Generative Adversarial Networks for unraveling data imbalance problems.

Neural networks : the official journal of the International Neural Network Society Oct 17, 2020
The data imbalance problem in classification is a frequent but challenging task. In real-world datasets, numerous class distributions are imbalanced and the classification result under such condition reveals extreme bias in the majority data class. R...
Pattern Recognition, Automated Neural Networks, Computer Data Analysis Humans
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Prediction of pedestrian-vehicle conflicts at signalized intersections based on long short-term memory neural network.

Accident; analysis and prevention Oct 17, 2020
Pedestrian protection is an important component of road safety. Intersections are dangerous locations for pedestrians with mixed traffic. This paper aims to predict potential traffic conflicts between pedestrians and vehicles at signalized intersecti...
Built Environment Safety Pattern Recognition, Automated Humans Pedestrians Accidents, Traffic Neural Networks, Computer
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More stringent criteria are needed for diagnosing internet gaming disorder: Evidence from regional brain features and whole-brain functional connectivity multivariate pattern analyses.

Journal of behavioral addictions Oct 7, 2020
BACKGROUND: Internet gaming disorder (IGD) is included in the DSM-5 as a provisional diagnosis. Whether IGD should be regarded as a disorder and, if so, how it should be defined and thresholded have generated considerable debate.
Humans Machine Learning Nerve Net Diagnostic and Statistical Manual of Mental Disorders Multivariate Analysis Connectome Internet Addiction Disorder Default Mode Network Recreation Video Games Executive Function Male Adolescent Image Interpretation, Computer-Assisted Pattern Recognition, Automated Magnetic Resonance Imaging Young Adult Adult Brain Female
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On the robustness of skeleton detection against adversarial attacks.

Neural networks : the official journal of the International Neural Network Society Sep 28, 2020
Human perception of an object's skeletal structure is particularly robust to diverse perturbations of shape. This skeleton representation possesses substantial advantages for parts-based and invariant shape encoding, which is essential for object rec...
Pattern Recognition, Visual Skeleton Deep Learning Pattern Recognition, Automated Humans Biometric Identification
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Multi-label zero-shot learning with graph convolutional networks.

Neural networks : the official journal of the International Neural Network Society Sep 21, 2020
The goal of zero-shot learning (ZSL) is to build a classifier that recognizes novel categories with no corresponding annotated training data. The typical routine is to transfer knowledge from seen classes to unseen ones by learning a visual-semantic ...
Machine Learning Semantics Pattern Recognition, Automated Humans Neural Networks, Computer
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Real-time gun detection in CCTV: An open problem.

Neural networks : the official journal of the International Neural Network Society Sep 17, 2020
Object detectors have improved in recent years, obtaining better results and faster inference time. However, small object detection is still a problem that has not yet a definitive solution. The autonomous weapons detection on Closed-circuit televisi...
Humans Neural Networks, Computer Firearms Television Databases, Factual Pattern Recognition, Automated
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Group-based local adaptive deep multiple kernel learning with lp norm.

PloS one Sep 17, 2020
The deep multiple kernel Learning (DMKL) method has attracted wide attention due to its better classification performance than shallow multiple kernel learning. However, the existing DMKL methods are hard to find suitable global model parameters to i...
Cluster Analysis Pattern Recognition, Automated Algorithms Datasets as Topic Software Design Deep Learning
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Pattern Recognition of Cognitive Load Using EEG and ECG Signals.

Sensors (Basel, Switzerland) Sep 8, 2020
The matching of cognitive load and working memory is the key for effective learning, and cognitive effort in the learning process has nervous responses which can be quantified in various physiological parameters. Therefore, it is meaningful to explor...
Pattern Recognition, Automated Algorithms Cognition Support Vector Machine Electrocardiography Electroencephalography
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Detecting face presentation attacks in mobile devices with a patch-based CNN and a sensor-aware loss function.

PloS one Sep 4, 2020
With the widespread use of biometric authentication comes the exploitation of presentation attacks, possibly undermining the effectiveness of these technologies in real-world setups. One example takes place when an impostor, aiming at unlocking someo...
Biometric Identification Computer Security Neural Networks, Computer Face Image Processing, Computer-Assisted Pattern Recognition, Automated Cell Phone
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