Results 21 to 30 of about 9,677,595 (330)
Biomedical Image Processing and Classification [PDF]
Electronics, 2021 Biomedical image processing is an interdisciplinary field [...]
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Classification of masked image data
PLOS ONE, 2021 Data classification is one of the most commonly used applications of machine learning. The are many developed algorithms that can work in various environments and for different data distributions that perform this task with excellence. Classification algorithms, just like other machine learning algorithms have one thing in common: in order to operate ...
Kamila Lis +2 more
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Trading via image classification [PDF]
Proceedings of the First ACM International Conference on AI in Finance, 2020 The art of systematic financial trading evolved with an array of approaches, ranging from simple strategies to complex algorithms all relying, primary, on aspects of time-series analysis. Recently, after visiting the trading floor of a leading financial institution, we noticed that traders always execute their trade orders while observing images of ...
Manuela Veloso +2 more
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RSMamba: Remote Sensing Image Classification With State Space Model [PDF]
IEEE Geoscience and Remote Sensing LettersRemote sensing image classification forms the foundation of various understanding tasks, serving a crucial function in remote sensing image interpretation.
Keyan Chen +5 more
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Deep Subdomain Adaptation Network for Image Classification [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2020 For a target task where the labeled data are unavailable, domain adaptation can transfer a learner from a different source domain. Previous deep domain adaptation methods mainly learn a global domain shift, i.e., align the global source and target ...
Yongchun Zhu +7 more
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Citrus dataset for image classification
Data in Brief, 2023 Citrus fruits are a specialty of the subtropical region and are currently the most widely cultivated and produced fruits in Taiwan. They contain a wealth of vitamins and minerals, including vitamin C, potassium, magnesium, and more, offering anti-inflammatory and antioxidant benefits.
Mei-Ling Huang, You-An Chen
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Bag of Tricks for Image Classification with Convolutional Neural Networks [PDF]
Computer Vision and Pattern Recognition, 2018 Much of the recent progress made in image classification research can be credited to training procedure refinements, such as changes in data augmentations and optimization methods. In the literature, however, most refinements are either briefly mentioned
Tong He +5 more
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Classification images with uncertainty
Journal of Vision, 2006 Classification image and other similar noise-driven linear methods have found increasingly wider applications in revealing psychophysical receptive field structures or perceptual templates. These techniques are relatively easy to deploy, and the results are simple to interpret.
Anirvan S. Nandy, Bosco S. Tjan
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Classification images: A review [PDF]
Journal of Vision, 2011 Classification images have recently become a widely used tool in visual psychophysics. Here, I review the development of classification image methods over the past fifteen years. I provide some historical background, describing how classification images and related methods grew out of established statistical and mathematical frameworks and became ...
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, 2022 El Páramo, los páramos andinos, juega un papel importante en nuestros ecosistemas ya que equilibran los recursos hídricos y pueden retener cantidades sustanciales de carbono.Esta investigación se realizó en la provincia de Tungurahua, específicamente en el distrito de Quero, siendo esta la región más importante del Páramo ecuatoriano.
CASTELO, MARCO +2 more
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