AIMC Topic: Pattern Recognition, Automated

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Vulnerability of classifiers to evolutionary generated adversarial examples.

Neural networks : the official journal of the International Neural Network Society Apr 20, 2020
This paper deals with the vulnerability of machine learning models to adversarial examples and its implication for robustness and generalization properties. We propose an evolutionary algorithm that can generate adversarial examples for any machine l...
Supervised Machine Learning Pattern Recognition, Automated Machine Learning Algorithms Humans Neural Networks, Computer
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Training of deep neural networks for the generation of dynamic movement primitives.

Neural networks : the official journal of the International Neural Network Society Apr 16, 2020
Dynamic movement primitives (DMPs) have proven to be an effective movement representation for motor skill learning. In this paper, we propose a new approach for training deep neural networks to synthesize dynamic movement primitives. The distinguishi...
Motor Skills Movement Databases, Factual Pattern Recognition, Automated Humans Neural Networks, Computer
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Identification of Upper-Limb Movements Based on Muscle Shape Change Signals for Human-Robot Interaction.

Computational and mathematical methods in medicine Apr 14, 2020
Towards providing efficient human-robot interaction, surface electromyogram (EMG) signals have been widely adopted for the identification of different limb movement intentions. Since the available EMG signal sensors are highly susceptible to external...
Upper Extremity Robotics User-Computer Interface Electric Conductivity Pattern Recognition, Automated Muscle, Skeletal Gold Humans Movement Signal Processing, Computer-Assisted Equipment Design Wearable Electronic Devices Electromyography
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Multi-part and scale adaptive visual tracker based on kernel correlation filter.

PloS one Apr 13, 2020
Accurate visual tracking is a challenging issue in computer vision. Correlation filter (CF) based methods are sought in visual tracking based on their efficiency and high performance. Nonetheless, CF-based trackers are sensitive to partial occlusion,...
Pattern Recognition, Automated Visual Perception Fourier Analysis Robotics Humans Video Recording Computers Artificial Intelligence Image Processing, Computer-Assisted Algorithms
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Generative adversarial networks with decoder-encoder output noises.

Neural networks : the official journal of the International Neural Network Society Apr 9, 2020
In recent years, research on image generation has been developing very fast. The generative adversarial network (GAN) emerges as a promising framework, which uses adversarial training to improve the generative ability of its generator. However, since...
Random Allocation Humans Neural Networks, Computer Bayes Theorem Pattern Recognition, Automated Image Processing, Computer-Assisted
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Dynamic Hand Gesture Recognition Based on a Leap Motion Controller and Two-Layer Bidirectional Recurrent Neural Network.

Sensors (Basel, Switzerland) Apr 8, 2020
Dynamic hand gesture recognition is one of the most significant tools for human-computer interaction. In order to improve the accuracy of the dynamic hand gesture recognition, in this paper, a two-layer Bidirectional Recurrent Neural Network for the ...
Neural Networks, Computer Databases, Factual Humans Pattern Recognition, Automated Sign Language Gestures Hand
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Ultrafast optical integration and pattern classification for neuromorphic photonics based on spiking VCSEL neurons.

Scientific reports Apr 8, 2020
In today's data-driven world, the ability to process large data volumes is crucial. Key tasks, such as pattern recognition and image classification, are well suited for artificial neural networks (ANNs) inspired by the brain. Neuromorphic computing a...
Lasers Pattern Recognition, Automated Optics and Photonics Neural Networks, Computer Semiconductors
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An Approach to Improve SSD through Skip Connection of Multiscale Feature Maps.

Computational intelligence and neuroscience Apr 5, 2020
SSD (Single Shot MultiBox Detector) is one of the best object detection algorithms and is able to provide high accurate object detection performance in real time. However, SSD shows relatively poor performance on small object detection because its sh...
Deep Learning Pattern Recognition, Automated
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A Video-Based DT-SVM School Violence Detecting Algorithm.

Sensors (Basel, Switzerland) Apr 3, 2020
School bullying is a serious problem among teenagers. School violence is one type of school bullying and considered to be the most harmful. As AI (Artificial Intelligence) techniques develop, there are now new methods to detect school violence. This ...
Humans Video Recording Pattern Recognition, Automated Schools Image Processing, Computer-Assisted Physical Abuse Activities of Daily Living Support Vector Machine
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Crowding in humans is unlike that in convolutional neural networks.

Neural networks : the official journal of the International Neural Network Society Mar 27, 2020
Object recognition is a primary function of the human visual system. It has recently been claimed that the highly successful ability to recognise objects in a set of emergent computer vision systems-Deep Convolutional Neural Networks (DCNNs)-can form...
Humans Neural Networks, Computer Pattern Recognition, Visual Recognition, Psychology Photic Stimulation Artificial Intelligence Crowding Visual Perception Pattern Recognition, Automated
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