Works matching IS 09328092 AND DT 2020 AND VI 31 AND IP 5
Results: 10
Graph-based topic models for trajectory clustering in crowd videos.
- Published in:
- Machine Vision & Applications, 2020, v. 31, n. 5, p. 1, doi. 10.1007/s00138-020-01092-3
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- Publication type:
- Article
GC-NET for classification of glaucoma in the retinal fundus image.
- Published in:
- Machine Vision & Applications, 2020, v. 31, n. 5, p. 1, doi. 10.1007/s00138-020-01091-4
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- Publication type:
- Article
I-ME: iterative model evolution for learning from weakly labeled images and videos.
- Published in:
- Machine Vision & Applications, 2020, v. 31, n. 5, p. 1, doi. 10.1007/s00138-020-01079-0
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- Article
Two-stream FCNs to balance content and style for style transfer.
- Published in:
- Machine Vision & Applications, 2020, v. 31, n. 5, p. 1, doi. 10.1007/s00138-020-01086-1
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- Publication type:
- Article
Using CNN with Bayesian optimization to identify cerebral micro-bleeds.
- Published in:
- Machine Vision & Applications, 2020, v. 31, n. 5, p. 1, doi. 10.1007/s00138-020-01087-0
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- Article
Analysis of microtomographic images in automatic defect localization and detection.
- Published in:
- Machine Vision & Applications, 2020, v. 31, n. 5, p. 1, doi. 10.1007/s00138-020-01084-3
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- Publication type:
- Article
DC-Gnet for detection of glaucoma in retinal fundus imaging.
- Published in:
- Machine Vision & Applications, 2020, v. 31, n. 5, p. 1, doi. 10.1007/s00138-020-01085-2
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- Article
Photo-realistic dehazing via contextual generative adversarial networks.
- Published in:
- Machine Vision & Applications, 2020, v. 31, n. 5, p. 1, doi. 10.1007/s00138-020-01082-5
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- Publication type:
- Article
Hyper-parameter optimization of deep learning model for prediction of Parkinson’s disease.
- Published in:
- Machine Vision & Applications, 2020, v. 31, n. 5, p. 1, doi. 10.1007/s00138-020-01078-1
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- Publication type:
- Article
Detection of tomato organs based on convolutional neural network under the overlap and occlusion backgrounds.
- Published in:
- Machine Vision & Applications, 2020, v. 31, n. 5, p. 1, doi. 10.1007/s00138-020-01081-6
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- Article