AIMC Topic: Pattern Recognition, Automated

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Parallel use of a convolutional neural network and bagged tree ensemble for the classification of Holter ECG.

Physiological measurement Sep 13, 2018
UNLABELLED: The automated detection of arrhythmia in a Holter ECG signal is a challenging task due to its complex clinical content and data quantity. It is also challenging due to the fact that Holter ECG is usually affected by noise. Such noise may ...
Humans Signal Processing, Computer-Assisted Atrial Fibrillation Pattern Recognition, Automated Machine Learning Diagnosis, Computer-Assisted Electrocardiography
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Real-time, simultaneous myoelectric control using a convolutional neural network.

PloS one Sep 13, 2018
The evolution of deep learning techniques has been transformative as they have allowed complex mappings to be trained between control inputs and outputs without the need for feature engineering. In this work, a myoelectric control system based on con...
Electromyography Humans Pattern Recognition, Automated Neural Networks, Computer Adult Stochastic Processes Signal Processing, Computer-Assisted Movement Support Vector Machine Wrist Muscle, Skeletal
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Critical features for face recognition.

Cognition Sep 12, 2018
Face recognition is a computationally challenging task that humans perform effortlessly. Nonetheless, this remarkable ability is better for familiar faces than unfamiliar faces. To account for humans' superior ability to recognize familiar faces, cur...
Male Middle Aged Deep Learning Pattern Recognition, Automated Facial Recognition Recognition, Psychology Aged Young Adult Adult Humans Female
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Smartwatch User Interface Implementation Using CNN-Based Gesture Pattern Recognition.

Sensors (Basel, Switzerland) Sep 7, 2018
In recent years, with an increase in the use of smartwatches among wearable devices, various applications for the device have been developed. However, the realization of a user interface is limited by the size and volume of the smartwatch. This study...
Machine Learning Wearable Electronic Devices Gestures Humans Neural Networks, Computer User-Computer Interface Pattern Recognition, Automated Accelerometry
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Control within a virtual environment is correlated to functional outcomes when using a physical prosthesis.

Journal of neuroengineering and rehabilitation Sep 5, 2018
BACKGROUND: Advances such as targeted muscle reinnervation and pattern recognition control may provide improved control of upper limb myoelectric prostheses, but evaluating user function remains challenging. Virtual environments are cost-effective an...
Humans Middle Aged Electromyography Female User-Computer Interface Artificial Limbs Reproducibility of Results Arm Robotics Prosthesis Design Pattern Recognition, Automated Adult Amputation, Surgical Male
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Integrating Language Model and Reading Control Gate in BLSTM-CRF for Biomedical Named Entity Recognition.

IEEE/ACM transactions on computational biology and bioinformatics Sep 3, 2018
Biomedical named entity recognition (Bio-NER) is an important preliminary step for many biomedical text mining tasks. The current mainstream methods for NER are based on the neural networks to avoid the complex hand-designed features derived from var...
Neural Networks, Computer Algorithms Deep Learning Data Mining Semantics Pattern Recognition, Automated Computational Biology Natural Language Processing
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Representation Learning by Rotating Your Faces.

IEEE transactions on pattern analysis and machine intelligence Sep 3, 2018
The large pose discrepancy between two face images is one of the fundamental challenges in automatic face recognition. Conventional approaches to pose-invariant face recognition either perform face frontalization on, or learn a pose-invariant represe...
Pattern Recognition, Automated Biometric Identification Rotation Face Humans Female Machine Learning Male Algorithms Image Processing, Computer-Assisted
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Handwritten Bangla Character Recognition Using the State-of-the-Art Deep Convolutional Neural Networks.

Computational intelligence and neuroscience Aug 27, 2018
In spite of advances in object recognition technology, handwritten Bangla character recognition (HBCR) remains largely unsolved due to the presence of many ambiguous handwritten characters and excessively cursive Bangla handwritings. Even many advanc...
Machine Learning Handwriting Humans Neural Networks, Computer Image Processing, Computer-Assisted Pattern Recognition, Automated
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A Biologically Inspired Approach for Robot Depth Estimation.

Computational intelligence and neuroscience Aug 23, 2018
Aimed at building autonomous service robots, reasoning, perception, and action should be properly integrated. In this paper, the depth cue has been analysed as an early stage given its importance for robotic tasks. So, from neuroscience findings, a h...
Proof of Concept Study Depth Perception Robotics Humans Models, Biological Pattern Recognition, Automated Image Processing, Computer-Assisted
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Deep Convolutional Neural Network Used in Single Sample per Person Face Recognition.

Computational intelligence and neuroscience Aug 23, 2018
Face recognition (FR) with single sample per person (SSPP) is a challenge in computer vision. Since there is only one sample to be trained, it makes facial variation such as pose, illumination, and disguise difficult to be predicted. To overcome this...
Image Processing, Computer-Assisted Face Pattern Recognition, Automated Humans Neural Networks, Computer Machine Learning
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