AIMC Topic: Pattern Recognition, Automated

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3D-Convolutional Neural Network with Generative Adversarial Network and Autoencoder for Robust Anomaly Detection in Video Surveillance.

International journal of neural systems May 28, 2020
As the surveillance devices proliferate, various machine learning approaches for video anomaly detection have been attempted. We propose a hybrid deep learning model composed of a video feature extractor trained by generative adversarial network with...
Humans Video Recording Pattern Recognition, Automated Transfer, Psychology Signal Detection, Psychological Sensitivity and Specificity Deep Learning Adult
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Big Data Driven Detection of Trees in Suburban Scenes Using Visual Spectrum Eye Level Photography.

Sensors (Basel, Switzerland) May 28, 2020
The aim of the work described in this paper is to detect trees in eye level view images. Unlike previous work that universally considers highly constrained environments, such as natural parks and wooded areas, or simple scenes with little clutter and...
Pattern Recognition, Automated Photography Trees Data Collection Big Data Machine Learning
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Using Artificial Intelligence for Pattern Recognition in a Sports Context.

Sensors (Basel, Switzerland) May 27, 2020
Optimizing athlete's performance is one of the most important and challenging aspects of coaching. Physiological and positional data, often acquired using wearable devices, have been useful to identify patterns, thus leading to a better understanding...
Wearable Electronic Devices Bayes Theorem Deep Learning Sports Athletic Performance Pattern Recognition, Automated Humans Neural Networks, Computer
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Synapse cell optimization and back-propagation algorithm implementation in a domain wall synapse based crossbar neural network for scalable on-chip learning.

Nanotechnology May 26, 2020
On-chip learning in spin orbit torque driven domain wall synapse based crossbar fully connected neural network (FCNN) has been shown to be extremely efficient in terms of speed and energy, when compared to training on a conventional computing unit or...
Deep Learning Pattern Recognition, Automated Neural Networks, Computer Algorithms Lab-On-A-Chip Devices
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Automatization and improvement of μCT analysis for murine lung disease models using a deep learning approach.

Respiratory research May 24, 2020
BACKGROUND: One of the main diagnostic tools for lung diseases in humans is computed tomography (CT). A miniaturized version, micro-CT (μCT) is utilized to examine small rodents including mice. However, fully automated threshold-based segmentation an...
Lipopolysaccharides Mice, Inbred C57BL Lung Diseases Pattern Recognition, Automated Female Deep Learning Animals Mice Male Absorptiometry, Photon X-Ray Microtomography
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DLPNet: A deep manifold network for feature extraction of hyperspectral imagery.

Neural networks : the official journal of the International Neural Network Society May 22, 2020
Deep learning has received increasing attention in recent years and it has been successfully applied for feature extraction (FE) of hyperspectral images. However, most deep learning methods fail to explore the manifold structure in hyperspectral imag...
Deep Learning Software Pattern Recognition, Automated
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Regularized least squares locality preserving projections with applications to image recognition.

Neural networks : the official journal of the International Neural Network Society May 21, 2020
Locality preserving projection (LPP), as a well-known technique for dimensionality reduction, is designed to preserve the local structure of the original samples which usually lie on a low-dimensional manifold in the real world. However, it suffers f...
Databases, Factual Least-Squares Analysis Artificial Intelligence Linear Models Pattern Recognition, Automated Humans
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Uni-image: Universal image construction for robust neural model.

Neural networks : the official journal of the International Neural Network Society May 21, 2020
Deep neural networks have shown high performance in prediction, but they are defenseless when they predict on adversarial examples which are generated by adversarial attack techniques. In image classification, those attack techniques usually perturb ...
Semantics Pattern Recognition, Automated Neural Networks, Computer
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Real-time multiple spatiotemporal action localization and prediction approach using deep learning.

Neural networks : the official journal of the International Neural Network Society May 19, 2020
Detecting the locations of multiple actions in videos and classifying them in real-time are challenging problems termed "action localization and prediction" problem. Convolutional neural networks (ConvNets) have achieved great success for action loca...
Humans Pattern Recognition, Automated Deep Learning
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Impulsive synchronization of coupled delayed neural networks with actuator saturation and its application to image encryption.

Neural networks : the official journal of the International Neural Network Society May 15, 2020
The actuator of any physical control systems is constrained by amplitude and energy, which causes the control systems to be inevitably affected by actuator saturation. In this paper, impulsive synchronization of coupled delayed neural networks with a...
Time Factors Nonlinear Dynamics Pattern Recognition, Automated Humans Neural Networks, Computer
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