AIMC Topic: Pattern Recognition, Automated

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Attention Inspired Network: Steep learning curve in an invariant pattern recognition model.

Neural networks : the official journal of the International Neural Network Society Feb 26, 2019
Hubel and Wiesel's study about low areas of the visual cortex (VC) inspired deep models for invariant pattern recognition. In such models, simple and complex layers alternate local feature extraction with subsampling to add invariance to distortion o...
Neural Networks, Computer Machine Learning Pattern Recognition, Automated
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Benchmarking machine learning methods for comprehensive chemical fingerprinting and pattern recognition.

Journal of chromatography. A Feb 23, 2019
Machine learning (ML) has been used previously to recognize particular patterns of constituent compounds. Here, ML is used with comprehensive chemical fingerprints that capture the distribution of all constituent compounds to flexibly perform various...
Pattern Recognition, Automated Chemistry Techniques, Analytical Machine Learning Benchmarking
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Bone Marrow Cells Detection: A Technique for the Microscopic Image Analysis.

Journal of medical systems Feb 23, 2019
In the detection of myeloproliferative, the number of cells in each type of bone marrow cells (BMC) is an important parameter for the evaluation. In this study, we propose a new counting method, which consists of three modules including localization,...
Support Vector Machine Color Bone Marrow Cells Microscopy Pattern Recognition, Automated Cell Nucleus Humans Algorithms Image Processing, Computer-Assisted
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Implementing artificial neural networks through bionic construction.

PloS one Feb 22, 2019
It is evident through biology research that, biological neural network could be implemented through two means: by congenital heredity, or by posteriority learning. However, traditionally, artificial neural network, especially the Deep learning Neural...
Bionics Visual Pathways Color Machine Learning Nerve Net Pattern Recognition, Automated Neural Networks, Computer Algorithms Movement Artificial Intelligence Animals Drosophila melanogaster Visual Perception
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Deep Learning for Sensor-Based Rehabilitation Exercise Recognition and Evaluation.

Sensors (Basel, Switzerland) Feb 20, 2019
In this paper, a multipath convolutional neural network (MP-CNN) is proposed for rehabilitation exercise recognition using sensor data. It consists of two novel components: a dynamic convolutional neural network (D-CNN) and a state transition probabi...
Deep Learning Exercise Therapy Pattern Recognition, Automated Humans Algorithms Movement
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Support vector machine with quantile hyper-spheres for pattern classification.

PloS one Feb 15, 2019
This paper formulates a support vector machine with quantile hyper-spheres (QHSVM) for pattern classification. The idea of QHSVM is to build two quantile hyper-spheres with the same center for positive or negative training samples. Every quantile hyp...
Humans Female Thyroid Gland Breast Pattern Recognition, Automated Support Vector Machine Cluster Analysis Heart
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Random forest prediction of Alzheimer's disease using pairwise selection from time series data.

PloS one Feb 14, 2019
Time-dependent data collected in studies of Alzheimer's disease usually has missing and irregularly sampled data points. For this reason time series methods which assume regular sampling cannot be applied directly to the data without a pre-processing...
Middle Aged Disease Progression Magnetic Resonance Imaging Alzheimer Disease Image Interpretation, Computer-Assisted Pattern Recognition, Automated Aged Aged, 80 and over Male Machine Learning Female Humans Neuroimaging
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Deep learning and process understanding for data-driven Earth system science.

Nature Feb 13, 2019
Machine learning approaches are increasingly used to extract patterns and insights from the ever-increasing stream of geospatial data, but current approaches may not be optimal when system behaviour is dominated by spatial or temporal context. Here, ...
Computer Simulation Female Reproducibility of Results Humans Forecasting Seasons Pattern Recognition, Automated Geographic Mapping Big Data Spatio-Temporal Analysis Knowledge Facial Recognition Time Factors Deep Learning Translating Earth Sciences Weather Uncertainty Regression, Psychology
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Recognition and Repetition Counting for ComplexPhysical Exercises with Deep Learning.

Sensors (Basel, Switzerland) Feb 10, 2019
Activity recognition using off-the-shelf smartwatches is an important problem in humanactivity recognition. In this paper, we present an end-to-end deep learning approach, able to provideprobability distributions over activities from raw sensor data....
Humans Algorithms Exercise Accelerometry Deep Learning Sports Wearable Electronic Devices Human Activities Pattern Recognition, Automated
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Compact Hardware Synthesis of Stochastic Spiking Neural Networks.

International journal of neural systems Feb 8, 2019
Spiking neural networks (SNN) are able to emulate real neural behavior with high confidence due to their bio-inspired nature. Many designs have been proposed for the implementation of SNN in hardware, although the realization of high-density and biol...
Stochastic Processes Computers Action Potentials Pattern Recognition, Automated Neural Networks, Computer Machine Learning
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