AIMC Topic: Pattern Recognition, Automated

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Monitor-Based Spiking Recurrent Network for the Representation of Complex Dynamic Patterns.

International journal of neural systems Feb 8, 2019
Neural networks are powerful computation tools for mimicking the human brain to solve realistic problems. Since spiking neural networks are a type of brain-inspired network, called the novel spiking system, Monitor-based Spiking Recurrent network (Mb...
Action Potentials Pattern Recognition, Automated Neural Networks, Computer Machine Learning
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Deep divergence-based approach to clustering.

Neural networks : the official journal of the International Neural Network Society Feb 8, 2019
A promising direction in deep learning research consists in learning representations and simultaneously discovering cluster structure in unlabeled data by optimizing a discriminative loss function. As opposed to supervised deep learning, this line of...
Neural Networks, Computer Deep Learning Cluster Analysis Discriminant Analysis Pattern Recognition, Automated
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Continual lifelong learning with neural networks: A review.

Neural networks : the official journal of the International Neural Network Society Feb 6, 2019
Humans and animals have the ability to continually acquire, fine-tune, and transfer knowledge and skills throughout their lifespan. This ability, referred to as lifelong learning, is mediated by a rich set of neurocognitive mechanisms that together c...
Pattern Recognition, Automated Memory Machine Learning Animals Humans Neural Networks, Computer
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A Novel Approach of Mathematical Theory of Shape and Neuro-Fuzzy Based Diagnostic Analysis of Cervical Cancer.

Pathology oncology research : POR Feb 6, 2019
This study aims to detect the abnormal growth of tissue in cervix region for diagnosis of cervical cancer using Pap test of patients. The proposed methodology classifies cervical cancer for pattern recognition either benign or malignant stages using ...
Uterine Cervical Neoplasms Image Processing, Computer-Assisted Models, Theoretical Humans Female Fuzzy Logic Pattern Recognition, Automated
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Multi-Information Flow CNN and Attribute-Aided Reranking for Person Reidentification.

Computational intelligence and neuroscience Feb 6, 2019
This paper presents a multi-information flow convolutional neural network (MiF-CNN) model for person reidentification (re-id). It contains several specific multilayer convolutional structures, where the input and output of a convolutional layer are c...
Algorithms Biometric Identification Humans Attention Recognition, Psychology Neural Networks, Computer Pattern Recognition, Automated Identification, Psychological
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A structure-time parallel implementation of spike-based deep learning.

Neural networks : the official journal of the International Neural Network Society Feb 4, 2019
Motivated by the recent progress of deep spiking neural networks (SNNs), we propose a structure-time parallel strategy based on layered structure and one-time computation over a time window to speed up the prominent spike-based deep learning algorith...
Deep Learning Time Factors Pattern Recognition, Automated Visual Perception Neural Networks, Computer Humans Algorithms Animals
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Automated selection of myocardial inversion time with a convolutional neural network: Spatial temporal ensemble myocardium inversion network (STEMI-NET).

Magnetic resonance in medicine Feb 3, 2019
PURPOSE: Delayed enhancement imaging is an essential component of cardiac MRI, which is used widely for the evaluation of myocardial scar and viability. The selection of an optimal inversion time (TI) or null point (TI ) to suppress the background my...
Adolescent Child Image Processing, Computer-Assisted Male Middle Aged Heart Pattern Recognition, Automated Gadolinium Contrast Media Magnetic Resonance Imaging Myocardium Humans Retrospective Studies Aged, 80 and over Neural Networks, Computer Young Adult Female Algorithms Adult Aged
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3-D PersonVLAD: Learning Deep Global Representations for Video-Based Person Reidentification.

IEEE transactions on neural networks and learning systems Feb 1, 2019
We present the global deep video representation learning to video-based person reidentification (re-ID) that aggregates local 3-D features across the entire video extent. Existing methods typically extract frame-wise deep features from 2-D convolutio...
Neural Networks, Computer Deep Learning Video Recording Humans Pattern Recognition, Automated Photic Stimulation
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Deep associative neural network for associative memory based on unsupervised representation learning.

Neural networks : the official journal of the International Neural Network Society Feb 1, 2019
This paper presents a deep associative neural network (DANN) based on unsupervised representation learning for associative memory. In brain, the knowledge is learnt by associating different types of sensory data, such as image and voice. The associat...
Neural Networks, Computer Algorithms Models, Statistical Unsupervised Machine Learning Pattern Recognition, Automated Association Learning Humans
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An automated data verification approach for improving data quality in a clinical registry.

Computer methods and programs in biomedicine Jan 31, 2019
BACKGROUND AND OBJECTIVE: The quality of data is crucial for clinical registry studies as it impacts credibility. In the regular practice of most such studies, a vulnerability arises from researchers recording data on paper-based case report forms (C...
Pattern Recognition, Automated Medical Informatics Language Automation Reproducibility of Results Regression Analysis Databases, Factual Electronic Health Records Programming Languages Humans Natural Language Processing Data Accuracy Machine Learning Registries Information Storage and Retrieval Algorithms Coronary Artery Disease
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