Results 31 to 40 of about 38,348 (250)
Lattice and Imbalance Informed Multi-Label Learning
IEEE Access, 2020 In a multi-label dataset, an instance is given a single representation across all possible labels. Despite the mutual sharing of instances among the labels, the membership of the instances vary from label to label.
Payel Sadhukhan, Sarbani Palit
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Road extraction in remote sensing data: A survey
International Journal of Applied Earth Observations and Geoinformation, 2022 Automated extraction of roads from remotely sensed data come forth various usages ranging from digital twins for smart cities, intelligent transportation, urban planning, autonomous driving, to emergency management. Many studies have focused on promoting
Ziyi Chen +9 more
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Depth‐based end‐to‐end deep network for human action recognition
IET Computer Vision, 2019 Recognition of human actions from videos can be improved if depth information is available. Depth information certainly helps in segregating foreground motion from the background.
Sachin Chaudhary, Subrahmanyam Murala
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Combining Morphological and Histogram based Text Line Segmentation in the OCR Context [PDF]
Journal of Data Mining and Digital Humanities, 2021 Text line segmentation is one of the pre-stages of modern optical character recognition systems. The algorithmic approach proposed by this paper has been designed for this exact purpose.
Pit Schneider
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IEEE Access, 2022 The recent increasing demand of Silicon-on-Chip devices has triggered a significant impact on the industrial processes of leading semiconductor companies.
Riccardo Emanuele Sarpietro +7 more
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Proximal methods for point source localisation [PDF]
Journal of Nonsmooth Analysis and Optimization, 2023 Point source localisation is generally modelled as a Lasso-type problem on measures. However, optimisation methods in non-Hilbert spaces, such as the space of Radon measures, are much less developed than in Hilbert spaces.
Tuomo Valkonen
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Gaussian guided frame sequence encoder network for action quality assessment
Complex & Intelligent Systems, 2022 Can a computer evaluate an athlete’s performance automatically? Many action quality assessment (AQA) methods have been proposed in recent years. Limited by the randomness of video sampling and the simple strategy of model training, the performance of the
Ming-Zhe Li +4 more
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The Challenges of HTR Model Training: Feedback from the Project Donner le gout de l'archive a l'ere numerique [PDF]
Journal of Data Mining and Digital Humanities, 2023 The arrival of handwriting recognition technologies offers new possibilities for research in heritage studies. However, it is now necessary to reflect on the experiences and the practices developed by research teams.
Beatrice Couture +3 more
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Computer Analysis of Architecture Using Automatic Image Understanding [PDF]
Journal of Data Mining and Digital Humanities, 2019 In the past few years, computer vision and pattern recognition systems have been becoming increasingly more powerful, expanding the range of automatic tasks enabled by machine vision.
Fan Wei, Yuan Li, Lior Shamir
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 To reconstruct images with high spatial resolution and high spectral resolution, one of the most common methods is to fuse a low-resolution hyperspectral image (HSI) with a high-resolution (HR) multispectral image (MSI) of the same scene.
Shuaiqi Liu +5 more
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