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Data Clustering Based on Community Structure in Mutual k-Nearest Neighbor Graph
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
Data clustering is a fundamental machine learning problem. Community structure is common in social and biological networks. In this article we propose a novel data clustering algorithm that uses this phenomenon in mutual ...
Knowledge Transfer for Face Verification Using Heterogeneous Generalized Operational Perceptrons
(
IEEE Computer Society
, 2019 , Conference Paper)
Face verification is a prominent biometric technique for identity authentication that has been used extensively in several security applications. In practice, face verification is often performed along with other visual ...
1-D Convolutional Neural Networks for Signal Processing Applications
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
1D Convolutional Neural Networks (CNNs) have recently become the state-of-the-art technique for crucial signal processing applications such as patient-specific ECG classification, structural health monitoring, anomaly ...
Feature-Based Cardiac Cycle Segmentation in Phonocardiogram Recordings
(
IEEE Computer Society
, 2018 , Conference Paper)
Phonocardiogram (PCG) conveys crucial information for cardiac health evaluation in ambulatory care and is an essential diagnostic test for heart assessment. Thus, identification and positioning of the first and second heart ...
Acceleration Approaches for Big Data Analysis
(
IEEE Computer Society
, 2018 , Conference Paper)
The massive size of data that needs to be processed by Machine Learning models nowadays sets new challenges related to their computational complexity and memory footprint. These challenges span all processing steps involved ...
Automatic Sleep Arousal Detection Using State Distance Analysis in Phase Space
(
IEEE Computer Society
, 2018 , Conference Paper)
Defective sleep arousal can contribute to significant sleep-related injuries and affect the quality of life. Investigating the arousal process is a challenging task as most of such events may be associated with subtle ...