AIMC Topic: Pattern Recognition, Automated

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Experimental Demonstration of Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses.

Scientific reports May 15, 2020
Spiking neural networks (SNN) are computational models inspired by the brain's ability to naturally encode and process information in the time domain. The added temporal dimension is believed to render them more computationally efficient than the con...
Supervised Machine Learning Neurons Brain Action Potentials Memory Synapses Pattern Recognition, Automated Humans Neural Networks, Computer Algorithms
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Neural networks for open and closed Literature-based Discovery.

PloS one May 15, 2020
Literature-based Discovery (LBD) aims to discover new knowledge automatically from large collections of literature. Scientific literature is growing at an exponential rate, making it difficult for researchers to stay current in their discipline and e...
Data Mining Peer Review Knowledge Discovery Pattern Recognition, Automated Neoplasms Scholarly Communication Humans Neural Networks, Computer
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Contextual encoder-decoder network for visual saliency prediction.

Neural networks : the official journal of the International Neural Network Society May 8, 2020
Predicting salient regions in natural images requires the detection of objects that are present in a scene. To develop robust representations for this challenging task, high-level visual features at multiple spatial scales must be extracted and augme...
Pattern Recognition, Automated Neural Networks, Computer Software
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Deep Learning Hybrid Method to Automatically Diagnose Periodontal Bone Loss and Stage Periodontitis.

Scientific reports May 5, 2020
We developed an automatic method for staging periodontitis on dental panoramic radiographs using the deep learning hybrid method. A novel hybrid framework was proposed to automatically detect and classify the periodontal bone loss of each individual ...
Deep Learning Mandible Reproducibility of Results Diagnosis, Computer-Assisted Pattern Recognition, Automated Maxilla Alveolar Bone Loss Image Processing, Computer-Assisted Periodontitis Humans Algorithms
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Robust image classification against adversarial attacks using elastic similarity measures between edge count sequences.

Neural networks : the official journal of the International Neural Network Society Apr 30, 2020
Due to their unprecedented capacity to learn patterns from raw data, deep neural networks have become the de facto modeling choice to address complex machine learning tasks. However, recent works have emphasized the vulnerability of deep neural netwo...
Color Deep Learning Pattern Recognition, Automated Image Processing, Computer-Assisted
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TMTCPT: The Tree Method based on the Taxonomic Categorization and the Phylogenetic Tree for fine-grained categorization.

Bio Systems Apr 28, 2020
Fine-grained categorization is one of the most challenging problems in machine vision. Recently, the presented methods have been based on convolutional neural networks, increasing the accuracy of classification very significantly. Inspired by these m...
Neural Networks, Computer Machine Learning Animals Classification Deep Learning Birds Pattern Recognition, Automated Phylogeny
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Real-Time Hand Gesture Recognition Using Surface Electromyography and Machine Learning: A Systematic Literature Review.

Sensors (Basel, Switzerland) Apr 27, 2020
Today, daily life is composed of many computing systems, therefore interacting with them in a natural way makes the communication process more comfortable. Human-Computer Interaction (HCI) has been developed to overcome the communication barriers bet...
Electromyography Pattern Recognition, Automated Humans Algorithms Gestures Machine Learning
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Optimized Mahalanobis-Taguchi System for High-Dimensional Small Sample Data Classification.

Computational intelligence and neuroscience Apr 26, 2020
The Mahalanobis-Taguchi system (MTS) is a multivariate data diagnosis and prediction technology, which is widely used to optimize large sample data or unbalanced data, but it is rarely used for high-dimensional small sample data. In this paper, the o...
Support Vector Machine Pattern Recognition, Automated Algorithms Image Processing, Computer-Assisted
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DART: Domain-Adversarial Residual-Transfer networks for unsupervised cross-domain image classification.

Neural networks : the official journal of the International Neural Network Society Apr 24, 2020
The accuracy of deep learning (e.g., convolutional neural networks) for an image classification task critically relies on the amount of labeled training data. Aiming to solve an image classification task on a new domain that lacks labeled data but ga...
Pattern Recognition, Automated Deep Learning Humans Unsupervised Machine Learning Neural Networks, Computer
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A Spatiotemporal Convolutional Network for Multi-Behavior Recognition of Pigs.

Sensors (Basel, Switzerland) Apr 22, 2020
The statistical data of different kinds of behaviors of pigs can reflect their health status. However, the traditional behavior statistics of pigs were obtained and then recorded from the videos through human eyes. In order to reduce labor and time c...
Neural Networks, Computer Deep Learning Pattern Recognition, Automated Animals Machine Learning Algorithms Swine
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