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Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.02.099
Abstract: Abstract Small-sample classification is a challenging problem in computer vision. In this work, we show how to efficiently and effectively utilize semantic information of the annotations to improve the performance of small-sample classification. First, we…
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Keywords:
dual neural;
image;
text dual;
classification ... See more keywords
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Published in 2022 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2021.3114674
Abstract: Aiming at the requirements for endoscope in minimally invasive surgery, a dual neural network (DNN) controller is designed for a flexible endoscopic robot (FER) with 10 DOF. First, the FER's kinematics model with remote center…
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Keywords:
neural network;
rcm constraints;
motion rcm;
dual neural ... See more keywords
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/4408288
Abstract: The use of deep learning (DL) and artificial intelligence (AI) in teaching children piano lessons promotes modern piano instruction and enhances the overall quality of education. To begin, a more thorough explanation of the teaching…
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Keywords:
neural networks;
piano;
learning dual;
education ... See more keywords
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Published in 2019 at "Neural Computation"
DOI: 10.1162/neco_a_01145
Abstract: This study, which examines a calculation method on the basis of a dual neural network for solving multiple definite integrals, addresses the problems of inefficiency, inaccuracy, and difficulty in finding solutions. First, the method offers…
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Keywords:
dual neural;
network;
definite integrals;
method ... See more keywords