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Published in 2021 at "Pattern Recognition"
DOI: 10.1016/j.patcog.2021.108243
Abstract: With increasing number of COVID-19 cases globally, all the countries are ramping up the testing numbers. While the RT-PCR kits are available in sufficient quantity in several countries, others are facing challenges with limited availability…
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Keywords:
multi task;
covid;
chest ray;
task driven ... See more keywords
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Published in 2021 at "Cerebral cortex"
DOI: 10.1093/cercor/bhab163
Abstract: Humans have a remarkable capacity to arrange and rearrange perceptual input according to different categorizations. This begs the question whether the categorization is exclusively a higher visual or amodal process, or whether categorization processes influence…
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Keywords:
task driven;
task;
anticipatory task;
nature visual ... See more keywords
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Published in 2018 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2018.2810953
Abstract: Small size and low weight are critical requirements for wearable and portable haptic interfaces, making it essential to work toward the optimization of their sensing and actuation systems. This letter presents a new approach for…
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Keywords:
task driven;
design optimization;
cutaneous devices;
device ... See more keywords
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Published in 2023 at "IEEE Transactions on Control Systems Technology"
DOI: 10.1109/tcst.2022.3172119
Abstract: This work focuses on developing a task-driven formation framework in the presence of communication constraints for a group of nonholonomic mobile vehicles. The center of this framework is a cost function that characterizes both the…
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Keywords:
driven formation;
communication;
communication constraints;
vehicles communication ... See more keywords
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Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3156588
Abstract: Deep convolutional neural networks (CNNs) have achieved tremendous successes but tend to suffer from high computation costs mainly due to heavy over-parameterization, resulting in the difficulty of directly applying them to the ever-growing application demands…
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Keywords:
layer wise;
sparsity;
task;
channel pruning ... See more keywords
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Published in 2017 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2017.2763538
Abstract: This paper presents a joint optimization of dynamic fluence field modulation (FFM) and regularization in quadratic penalized-likelihood reconstruction that maximizes a task-based imaging performance metric. We adopted a task-driven imaging framework for prospective designs of…
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Keywords:
task driven;
task;
regularization;
tex math ... See more keywords