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Outlier edge detection using random graph generation models and applications
(
Springer
, 2017 , Article)
Outliers are samples that are generated by different mechanisms from other normal data samples. Graphs, in particular social network graphs, may contain nodes and edges that are made by scammers, malicious programs or ...
Extended quantum cuts for unsupervised salient object extraction
(
Springer New York LLC
, 2017 , Article)
In this manuscript, an unsupervised salient object extraction algorithm is proposed for RGB and RGB-Depth images. Saliency estimation is formulated as a foreground detection problem. To this end, Quantum-Cuts (QCUT), a ...
Comparison of polarimetric SAR features for terrain classification using incremental training
(
Electromagnetics Academy
, 2017 , Conference Paper)
In this study, the most commonly used polarimetric SAR features including the complete coherency (or covariance) matrix information, features obtained from several coherent and incoherent target decompositions, the ...
Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks
(
Academic Press
, 2017 , Article)
Structural health monitoring (SHM) and vibration-based structural damage detection have been a continuous interest for civil, mechanical and aerospace engineers over the decades. Early and meticulous damage detection has ...
Optimization of linear zigzag insert metastructures for low-frequency vibration attenuation using genetic algorithms
(
Academic Press
, 2017 , Article)
Vibration suppression remains a crucial issue in the design of structures and machines. Recent studies have shown that with the use of metamaterial inspired structures (or metastructures), considerable vibration attenuation ...
Learning graph affinities for spectral graph-based salient object detection
(
Elsevier Ltd
, 2017 , Article)
In this paper, we propose a novel method for learning graph affinities for salient object detection. First, we assume that a graph representation of an image is given with a predetermined connectivity rule and representative ...
Generalized model of biological neural networks: Progressive operational perceptrons
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Traditional Artificial Neural Networks (ANNs) such as Multi-Layer Perceptrons (MLPs) and Radial Basis Functions (RBFs) were designed to simulate biological neural networks
Personalized Monitoring and Advance Warning System for Cardiac Arrhythmias
(
Nature Publishing Group
, 2017 , Article)
Each year more than 7 million people die from cardiac arrhythmias. Yet no robust solution exists today to detect such heart anomalies right at the moment they occur. The purpose of this study was to design a personalized ...
Detection of atrial fibrillation in ECG hand-held devices using a random forest classifier
(
IEEE Computer Society
, 2017 , Conference Paper)
Atrial Fibrillation (AF) is characterized by chaotic electrical impulses in the atria, which leads to irregular heartbeats and can develop blood clots and stroke. Therefore, early detection of AF is crucial for increasing ...
A vector quantization based k-NN approach for large-scale image classification
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
The k-nearest-neighbour classifiers (k-NN) have been one of the simplest yet most effective approaches to instance based learning problem for image classification. However, with the growth of the size of image datasets and ...