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  1. 4521

    Global Distribution Adjustment and Nonlinear Feature Transformation for Automatic Colorization by Terumasa Aoki, Van Nguyen

    Published 2018-01-01
    “…In reference-based automatic colorization methods, color image(s) are used as reference(s) to reconstruct original color of a gray target image. …”
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    Article
  2. 4522
  3. 4523

    Improvement of CRF-Based Saliency Detection Algorithm Using Matrix Decomposition Based Features by Mohammad Shouryabi, Mohammad Javad Fadaeieslam

    Published 2020-09-01
    “…In the following, CRF has been trained according to the features of 20 images close to the input image. Finally, input image saliency is estimated according to calculated weights in the training phase, input image saliency cues, and ground truths. …”
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    Article
  4. 4524

    Cortical Visual Performance Test Setup for Parkinson’s Disease Based on Motion Blur Orientation by M. Erdem Isenkul

    Published 2019-01-01
    “…In a developed test, horizontal and vertical motion blur orientation was applied to natural image samples, and then neural outputs were produced by representing three (original-horizontal-vertical) image groups with the Layer 4 (L4) cortex model. …”
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  5. 4525

    Improving person re-identification based on two-stage training of convolutional neural networks and augmentation by S. A. Ihnatsyeva, R. P. Bohush

    Published 2023-03-01
    “…A technology for two-stage training of convolutional neural networks (CNN) is presented, characterized by the use of image augmentation for the preliminary stage and fine tuning of weight coefficients based on the original images set for training. …”
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    Article
  6. 4526

    Feature Guided CNN for Baby’s Facial Expression Recognition by Qing Lin, Ruili He, Peihe Jiang

    Published 2020-01-01
    “…However, most of the existing works focus mainly on analyzing an adult’s face and ignore the important problems: how can we recognize facial expression from a baby’s face image and how difficult is it? In this paper, we first introduce a new face image database, named BabyExp, which contains 12,000 images from babies younger than two years old, and each image is with one of three facial expressions (i.e., happy, sad, and normal). …”
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    Article
  7. 4527

    Full-Field Strain Characterizations and Fracture Process of Rock Blasting Using a Small-Scale Double-Hole Bench Model by Jun Yang, Xin Liu, Zhenyang Xu, Hongliang Tang, Qi Yu

    Published 2020-01-01
    “…Finally, the measurements of two-dimensional digital image correlation and three-dimensional digital image correlation are discussed.…”
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  8. 4528

    The Improvement of Automated Crack Segmentation on Concrete Pavement with Graph Network by Jiang Chen, Ye Yuan, Hong Lang, Shuo Ding, Jian John Lu

    Published 2022-01-01
    “…Then, the graph from the image is input into the graph branch. The graph feature map of the graph branch output is fused with the image feature map of the encoder and then enters the decoder to recover the image resolution to obtain the crack segmentation result. …”
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    Article
  9. 4529

    Systematic Monitoring and Evaluating the Wear of Alumina Wheel When Grinding the Workpiece of Cr12 by Fangyi You, Wang Zhou, Xuan Wang, Qiulian Dai

    Published 2021-01-01
    “…Processing of the binary image of the wheel was performed after determining the gray threshold of the gray value. …”
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  10. 4530

    The Relationship between Digital Marketing, Customer Engagement, and Purchase Intention via OTT Platforms by Sufyan Habib, Nawaf N. Hamadneh, Asif Hassan

    Published 2022-01-01
    “…In addition, there is a strong indirect effect through brand image and consumer engagement, supporting the hypothesis that brand image and consumer engagement mediate the relationship between DMM practices and the purchase intention of OTT platforms. …”
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    Article
  11. 4531

    Improving UAV Aerial Imagery Detection Method via Superresolution Synergy by Dianwei Wang, Zehao Gao, Jie Fang, Yuanqing Li, Zhijie Xu

    Published 2025-01-01
    “…Unmanned aerial vehicles (UAVs) have emerged as versatile tools across various industries, providing valuable insights through aerial image analysis. However, the efficacy of UAV-deployed image detection systems is often limited by the resolution of captured images and the altitudinal constraints of UAV operations. …”
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  12. 4532

    Similarity Learning and Generalization with Limited Data: A Reservoir Computing Approach by Sanjukta Krishnagopal, Yiannis Aloimonos, Michelle Girvan

    Published 2018-01-01
    “…We demonstrate our results on the simple MNIST handwritten digit database as well as a database of depth maps of visual scenes in videos taken from a moving camera. We consider image pair relationships such as images from the same class; images from the same class with one image superposed with noise, rotated 90°, blurred, or scaled; images from different classes. …”
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  13. 4533

    Dual-Source CT Angiography of Peripheral Arterial Stents: In Vitro Evaluation of 22 Different Stent Types by Michael Köhler, Matthias C. Burg, Alexander C. Bunck, Walter Heindel, Harald Seifarth, David Maintz

    Published 2011-01-01
    “…To test different peripheral arterial stents using four image reconstruction approaches with respect to lumen visualization, lumen attenuation and image noise in dual-source multidetector row CT (DSCT) in vitro. …”
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  14. 4534
  15. 4535

    An Improved EMD-Based Dissimilarity Metric for Unsupervised Linear Subspace Learning by Xiangchun Yu, Zhezhou Yu, Wei Pang, Minghao Li, Lei Wu

    Published 2018-01-01
    “…Secondly, an improved Earth Mover’s Distance (EMD) metric is adopted to measure the dissimilarity between blocks of one face image and the corresponding blocks from the rest of face images. …”
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  16. 4536

    Alignment-Free and High-Frequency Compensation in Face Hallucination by Yen-Wei Chen, So Sasatani, Xian-Hua Han

    Published 2014-01-01
    “…The basic idea of proposed framework is to reconstruct or estimate a residual image, which can be used to compensate the high-frequency components of the reconstructed high-resolution image. …”
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  17. 4537
  18. 4538
  19. 4539
  20. 4540

    Clinical Applications of Machine Learning by Nadayca Mateussi, PhD, Michael P. Rogers, MD, Emily A. Grimsley, MD, Meagan Read, MD, Rajavi Parikh, DO, Ricardo Pietrobon, MD, PhD, Paul C. Kuo, MD

    Published 2024-06-01
    “…This review introduces interpretable predictive machine learning approaches, natural language processing, image recognition, and reinforcement learning methodologies to familiarize end users. …”
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