Works matching IS 17519675 AND DT 2022 AND VI 16 AND IP 6
Results: 10
An improved segmentation technique for multilevel thresholding of crop image using cuckoo search algorithm based on recursive minimum cross entropy.
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- IET Signal Processing (Wiley-Blackwell), 2022, v. 16, n. 6, p. 630, doi. 10.1049/sil2.12148
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- Article
Advances in image processing using machine learning techniques.
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- IET Signal Processing (Wiley-Blackwell), 2022, v. 16, n. 6, p. 615, doi. 10.1049/sil2.12146
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- Article
An integrated learning and approximation scheme for coding of static or dynamic light fields based on hybrid Tucker–Karhunen–Loève transform‐singular value decomposition via tensor double sketching.
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- IET Signal Processing (Wiley-Blackwell), 2022, v. 16, n. 6, p. 680, doi. 10.1049/sil2.12141
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- Article
An unsupervised monocular image depth prediction algorithm using Fourier domain analysis.
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- IET Signal Processing (Wiley-Blackwell), 2022, v. 16, n. 6, p. 619, doi. 10.1049/sil2.12135
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- Article
Convolutional neural network and Bi‐directional long short memory hybrid deep network aided infrared image classification framework for non‐contact monitoring of overhead insulators.
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- IET Signal Processing (Wiley-Blackwell), 2022, v. 16, n. 6, p. 722, doi. 10.1049/sil2.12130
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- Article
On theoretical justification of the forward–backward algorithm for the variational learning of Bayesian hidden Markov models.
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- IET Signal Processing (Wiley-Blackwell), 2022, v. 16, n. 6, p. 674, doi. 10.1049/sil2.12129
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- Article
Multi‐graph convolutional clustering network.
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- IET Signal Processing (Wiley-Blackwell), 2022, v. 16, n. 6, p. 650, doi. 10.1049/sil2.12116
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- Article
The analysis of completely perturbed model based on RIP via orthogonal least squares.
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- IET Signal Processing (Wiley-Blackwell), 2022, v. 16, n. 6, p. 662, doi. 10.1049/sil2.12115
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- Article
Ship images detection and classification based on convolutional neural network with multiple feature regions.
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- IET Signal Processing (Wiley-Blackwell), 2022, v. 16, n. 6, p. 707, doi. 10.1049/sil2.12104
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- Article
Unsupervised deep domain adaptation framework in remote acoustic time parametric imaging.
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- IET Signal Processing (Wiley-Blackwell), 2022, v. 16, n. 6, p. 695, doi. 10.1049/sil2.12071
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- Article