AIMC Topic:
Databases, Factual

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Bird sound spectrogram decomposition through Non-Negative Matrix Factorization for the acoustic classification of bird species.

PloS one Jun 19, 2017
Feature extraction for Acoustic Bird Species Classification (ABSC) tasks has traditionally been based on parametric representations that were specifically developed for speech signals, such as Mel Frequency Cepstral Coefficients (MFCC). However, the ...
Support Vector Machine Databases, Factual Sound Spectrography Animals Birds
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Unlocking echocardiogram measurements for heart disease research through natural language processing.

BMC cardiovascular disorders Jun 12, 2017
BACKGROUND: In order to investigate the mechanisms of cardiovascular disease in HIV infected and uninfected patients, an analysis of echocardiogram reports is required for a large longitudinal multi-center study.
Natural Language Processing Feasibility Studies Heart Failure HIV Infections Longitudinal Studies Predictive Value of Tests Terminology as Topic Veterans Health Software Validation Databases, Factual Data Mining Retrospective Studies Automation Humans Reproducibility of Results Pattern Recognition, Automated Ventricular Function, Left Stroke Volume Echocardiography
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Model-Based Generation of Large Databases of Cardiac Images: Synthesis of Pathological Cine MR Sequences From Real Healthy Cases.

IEEE transactions on medical imaging Jun 9, 2017
Collecting large databases of annotated medical images is crucial for the validation and testing of feature extraction, statistical analysis, and machine learning algorithms. Recent advances in cardiac electromechanical modeling and image synthesis p...
Algorithms Databases, Factual Female Humans Machine Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging, Cine Young Adult Adult Male
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Premature ventricular contraction detection combining deep neural networks and rules inference.

Artificial intelligence in medicine Jun 9, 2017
Premature ventricular contraction (PVC), which is a common form of cardiac arrhythmia caused by ectopic heartbeat, can lead to life-threatening cardiac conditions. Computer-aided PVC detection is of considerable importance in medical centers or outpa...
Algorithms Databases, Factual Sensitivity and Specificity Electrocardiography Arrhythmias, Cardiac Ventricular Premature Complexes Humans Neural Networks, Computer
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Simultaneous Feature and Dictionary Learning for Image Set Based Face Recognition.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jun 8, 2017
In this paper, we propose a simultaneous feature and dictionary learning (SFDL) method for image set-based face recognition, where each training and testing example contains a set of face images, which were captured from different variations of pose,...
Databases, Factual Image Processing, Computer-Assisted Face Humans Machine Learning Algorithms Biometric Identification
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Bacterial Virus Ontology; Coordinating across Databases.

Viruses May 23, 2017
Bacterial viruses, also called bacteriophages, display a great genetic diversity and utilize unique processes for infecting and reproducing within a host cell. All these processes were investigated and indexed in the ViralZone knowledge base. To faci...
Biological Ontologies Host-Pathogen Interactions Terminology as Topic Bacteriophages Databases, Factual
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Neuromorphic Hardware Architecture Using the Neural Engineering Framework for Pattern Recognition.

IEEE transactions on biomedical circuits and systems May 19, 2017
We present a hardware architecture that uses the neural engineering framework (NEF) to implement large-scale neural networks on field programmable gate arrays (FPGAs) for performing massively parallel real-time pattern recognition. NEF is a framework...
Pattern Recognition, Automated Neural Networks, Computer Databases, Factual Neurons
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Personalized Age Progression with Bi-Level Aging Dictionary Learning.

IEEE transactions on pattern analysis and machine intelligence May 17, 2017
Age progression is defined as aesthetically re-rendering the aging face at any future age for an individual face. In this work, we aim to automatically render aging faces in a personalized way. Basically, for each age group, we learn an aging diction...
Face Pattern Recognition, Automated Adolescent Aging Humans Female Young Adult Child Aged Databases, Factual Middle Aged Adult Image Processing, Computer-Assisted Aged, 80 and over Male Deep Learning
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Online cross-validation-based ensemble learning.

Statistics in medicine May 4, 2017
Online estimators update a current estimate with a new incoming batch of data without having to revisit past data thereby providing streaming estimates that are scalable to big data. We develop flexible, ensemble-based online estimators of an infinit...
Humans Models, Statistical Regression Analysis Likelihood Functions Databases, Factual Stochastic Processes Machine Learning Computer Simulation Algorithms Online Systems Incidence Communicable Diseases Biostatistics
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Trunk-Branch Ensemble Convolutional Neural Networks for Video-Based Face Recognition.

IEEE transactions on pattern analysis and machine intelligence May 2, 2017
Human faces in surveillance videos often suffer from severe image blur, dramatic pose variations, and occlusion. In this paper, we propose a comprehensive framework based on Convolutional Neural Networks (CNN) to overcome challenges in video-based fa...
Image Processing, Computer-Assisted Video Recording Face Pattern Recognition, Automated Biometric Identification Neural Networks, Computer Algorithms Databases, Factual Humans
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