AIMC Topic: Pattern Recognition, Automated

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Associative memory realized by a reconfigurable memristive Hopfield neural network.

Nature communications Jun 25, 2015
Although synaptic behaviours of memristors have been widely demonstrated, implementation of an even simple artificial neural network is still a great challenge. In this work, we demonstrate the associative memory on the basis of a memristive Hopfield...
Association Learning Neural Networks, Computer Pattern Recognition, Automated Algorithms Central Nervous System Memory Computer Simulation Animals
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A roadmap to multifactor dimensionality reduction methods.

Briefings in bioinformatics Jun 24, 2015
Complex diseases are defined to be determined by multiple genetic and environmental factors alone as well as in interactions. To analyze interactions in genetic data, many statistical methods have been suggested, with most of them relying on statisti...
Algorithms Models, Statistical Pattern Recognition, Automated Computer Simulation Protein Interaction Mapping Multifactor Dimensionality Reduction
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Depth Sensing for Improved Control of Lower Limb Prostheses.

IEEE transactions on bio-medical engineering Jun 22, 2015
Powered lower limb prostheses have potential to improve the quality of life of individuals with amputations by enabling all daily activities. However, seamless ambulation mode recognition is necessary to achieve this goal and is not yet a clinical re...
Algorithms Robotics Artificial Limbs Humans Depth Perception Pattern Recognition, Automated Artificial Intelligence Biomedical Engineering
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Rule Extraction Based on Extreme Learning Machine and an Improved Ant-Miner Algorithm for Transient Stability Assessment.

PloS one Jun 19, 2015
In order to overcome the problems of poor understandability of the pattern recognition-based transient stability assessment (PRTSA) methods, a new rule extraction method based on extreme learning machine (ELM) and an improved Ant-miner (IAM) algorith...
ROC Curve Machine Learning Area Under Curve Algorithms Pattern Recognition, Automated
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RAIRS2 a new expert system for diagnosing tuberculosis with real-world tournament selection mechanism inside artificial immune recognition system.

Medical & biological engineering & computing Jun 17, 2015
Tuberculosis is a major global health problem that has been ranked as the second leading cause of death from an infectious disease worldwide, after the human immunodeficiency virus. Diagnosis based on cultured specimens is the reference standard; how...
Expert Systems Pattern Recognition, Automated Tuberculosis Humans Artificial Intelligence Algorithms
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Active Learning Using Hint Information.

Neural computation Jun 16, 2015
The abundance of real-world data and limited labeling budget calls for active learning, an important learning paradigm for reducing human labeling efforts. Many recently developed active learning algorithms consider both uncertainty and representativ...
Cluster Analysis Pattern Recognition, Automated Artificial Intelligence Algorithms Humans
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Locality preserving score for joint feature weights learning.

Neural networks : the official journal of the International Neural Network Society Jun 15, 2015
Locality preserving measurement criterion is frequently used for assessing the quality of features. However, locality preserving criterion based unsupervised feature selection algorithms have two widely acknowledged weaknesses: (1) The performance of...
Humans Machine Learning Cluster Analysis Pattern Recognition, Automated Algorithms
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Incorporating advanced language models into the P300 speller using particle filtering.

Journal of neural engineering Jun 10, 2015
OBJECTIVE: The P300 speller is a common brain-computer interface (BCI) application designed to communicate language by detecting event related potentials in a subject's electroencephalogram signal. Information about the structure of natural language ...
Natural Language Processing Machine Learning Electroencephalography Algorithms Signal Processing, Computer-Assisted Humans Reproducibility of Results Models, Statistical Sensitivity and Specificity Computer Simulation Event-Related Potentials, P300 Brain Mapping Communication Devices for People with Disabilities Brain-Computer Interfaces Word Processing Pattern Recognition, Automated Task Performance and Analysis
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Machine learning classification of OARSI-scored human articular cartilage using magnetic resonance imaging.

Osteoarthritis and cartilage Jun 9, 2015
OBJECTIVE: The purpose of this study is to evaluate the ability of machine learning to discriminate between magnetic resonance images (MRI) of normal and pathological human articular cartilage obtained under standard clinical conditions.
Humans Machine Learning Algorithms Least-Squares Analysis Linear Models Pattern Recognition, Automated Image Processing, Computer-Assisted Magnetic Resonance Imaging Cartilage, Articular Diffusion Magnetic Resonance Imaging Multivariate Analysis Osteoarthritis, Knee
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EMD-Based Temporal and Spectral Features for the Classification of EEG Signals Using Supervised Learning.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jun 8, 2015
This paper presents a novel method for feature extraction from electroencephalogram (EEG) signals using empirical mode decomposition (EMD). Its use is motivated by the fact that the EMD gives an effective time-frequency analysis of nonstationary sign...
Supervised Machine Learning Pattern Recognition, Automated Sensitivity and Specificity Spatio-Temporal Analysis Electroencephalography Epilepsy Diagnosis, Computer-Assisted Humans Algorithms Reproducibility of Results
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