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Now showing items 11-20 of 20
Face segmentation in thumbnail images by data-adaptive convolutional segmentation networks
(
IEEE Computer Society
, 2016 , Conference Paper)
In this study we address the problem of face segmentation in thumbnail images. While there have been several approaches for face detection, none performs detection in such low resolution and segmentation with pixel accuracy. ...
Generalized Operational Classifiers for Material Identification
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Material is one of the intrinsic features of objects, and consequently material recognition plays an important role in image understanding. The same material may have various shapes and appearance, while keeping the same ...
Sepsis Prediction in Intensive Care Unit Using Ensemble of XGboost Models
(
IEEE Computer Society
, 2019 , Conference Paper)
Sepsis is caused by the dysregulated host response to infection and potentially is the main cause of 6 million death annually. It is a highly dynamic syndrome and therefore the early prediction of sepsis plays a key role ...
A k-nearest neighbor multilabel ranking algorithm with application to content-based image retrieval
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Multilabel ranking is an important machine learning task with many applications, such as content-based image retrieval (CBIR). However, when the number of labels is large, traditional algorithms are either infeasible or ...
ShakeMe: Key generation from shared motion
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
Devices equipped with accelerometer sensors such as today's mobile devices can make use of motion to exchange information. A typical example for shared motion is shaking of two devices which are held together in one hand. ...
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 ...
Maximum achievable throughput and interference mitigation for SUN in coexistence with WLAN
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
An optimum packet length selection scheme to maximize the throughput of a smart utility network (SUN) is introduced under wireless local area network (WLAN) interference system. The traditional and the investigated segmented ...
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 ...