AIMC Topic: Pattern Recognition, Automated

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Are open set classification methods effective on large-scale datasets?

PloS one Sep 4, 2020
Supervised classification methods often assume the train and test data distributions are the same and that all classes in the test set are present in the training set. However, deployed classifiers often require the ability to recognize inputs from o...
Pattern Recognition, Automated Classification Algorithms Image Processing, Computer-Assisted Datasets as Topic Neural Networks, Computer Machine Learning Humans
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Shape-to-graph mapping method for efficient characterization and classification of complex geometries in biological images.

PLoS computational biology Sep 3, 2020
With the ever-increasing quality and quantity of imaging data in biomedical research comes the demand for computational methodologies that enable efficient and reliable automated extraction of the quantitative information contained within these image...
Algorithms Cell Line, Tumor Image Processing, Computer-Assisted Humans Cytological Techniques Computational Biology Machine Learning Pattern Recognition, Automated Decision Trees Gene Knockdown Techniques Human Umbilical Vein Endothelial Cells
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Neural Network-Based Study about Correlation Model between TCM Constitution and Physical Examination Indexes Based on 950 Physical Examinees.

Journal of healthcare engineering Sep 1, 2020
PURPOSE: To establish the correlation model between Traditional Chinese Medicine (TCM) constitution and physical examination indexes by backpropagation neural network (BPNN) technology. A new method for the identification of TCM constitution in clini...
Blood Chemical Analysis Reproducibility of Results Liver Function Tests Computer Systems Urinalysis Physical Examination Medicine, Chinese Traditional Data Collection Models, Statistical Humans Lipids Pattern Recognition, Automated Artificial Intelligence Neural Networks, Computer Programming Languages Software Algorithms
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Unsupervised spectral mapping and feature selection for hyperspectral anomaly detection.

Neural networks : the official journal of the International Neural Network Society Aug 28, 2020
Exploring techniques that breakthrough the unknown space or material species is of considerable significance to military and civilian fields, and it is a challenging task without any prior information. Nowadays, the use of material-specific spectral ...
Humans Neural Networks, Computer Unsupervised Machine Learning Pattern Recognition, Automated
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An Acoustic Sensing Gesture Recognition System Design Based on a Hidden Markov Model.

Sensors (Basel, Switzerland) Aug 26, 2020
Many human activities are tactile. Recognizing how a person touches an object or a surface surrounding them is an active area of research and it has generated keen interest within the interactive surface community. In this paper, we compare two machi...
Pattern Recognition, Automated Gestures Acoustics Markov Chains Machine Learning Humans Algorithms Neural Networks, Computer
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Learning image features with fewer labels using a semi-supervised deep convolutional network.

Neural networks : the official journal of the International Neural Network Society Aug 25, 2020
Learning feature embeddings for pattern recognition is a relevant task for many applications. Deep learning methods such as convolutional neural networks can be employed for this assignment with different training strategies: leveraging pre-trained m...
Supervised Machine Learning Humans Pattern Recognition, Automated Neural Networks, Computer Databases, Factual
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Clustering Ensemble Model Based on Self-Organizing Map Network.

Computational intelligence and neuroscience Aug 25, 2020
This paper proposes a clustering ensemble method that introduces cascade structure into the self-organizing map (SOM) to solve the problem of the poor performance of a single clusterer. Cascaded SOM is an extension of classical SOM combined with the ...
Cluster Analysis Pattern Recognition, Automated Neural Networks, Computer Algorithms
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Prediction, pattern recognition and modelling of complications post-endovascular infra renal aneurysm repair by artificial intelligence.

Vascular Aug 24, 2020
OBJECTIVES: The study evaluates the plausibility and applicability of prediction, pattern recognition and modelling of complications post-endovascular aneurysm repair (EVAR) by artificial intelligence for more accurate surveillance in practice.
Prospective Studies Female Risk Factors Humans Artificial Intelligence Middle Aged Risk Assessment Postoperative Complications Aged Aged, 80 and over Male Endoleak Pattern Recognition, Automated Blood Vessel Prosthesis Implantation Endovascular Procedures Graft Occlusion, Vascular Support Vector Machine Blood Vessel Prosthesis Decision Trees Foreign-Body Migration Aortic Aneurysm, Abdominal Time Factors Treatment Outcome
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WiGAN: A WiFi Based Gesture Recognition System with GANs.

Sensors (Basel, Switzerland) Aug 23, 2020
In recent years, a series of research experiments have been conducted on WiFi-based gesture recognition. However, current recognition systems are still facing the challenge of small samples and environmental dependence. To deal with the problem of pe...
Humans Neural Networks, Computer Gestures Support Vector Machine Pattern Recognition, Automated
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Improved dual-scale residual network for image super-resolution.

Neural networks : the official journal of the International Neural Network Society Aug 19, 2020
In recent years, convolutional neural networks have been successfully applied to single image super-resolution (SISR) tasks, making breakthrough progress both in accuracy and speed. In this work, an improved dual-scale residual network (IDSRN), achie...
Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Pattern Recognition, Automated Humans
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