Results 11 to 20 of about 4,286,367 (298)
Many unions in the United States have for several years engaged in what is known as pattern bargaining. In this article, we show that pattern bargaining is preferred by a union to both simultaneous industry‐wide negotiations and sequential negotiations without a pattern. Allowing for interfirm productivity differentials within an industry, we show that
Robert Marshall, Antonio Merlo
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24 pages; To appear in the Proceedings of Pattern Languages of Programs 2021, and in the collected volume "CLA 3.0: 30 Years of Transformative and Critical Futures Research"
Corneli, Joseph +7 more
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With the rise and ever-increasing potential of deep learning techniques in recent years, publicly available medical datasets became a key factor to enable reproducible development of diagnostic algorithms in the medical domain.
Kai Packhäuser +5 more
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Early patterning of the body during animal development is a fundamental process to subsequent events including cell differentiation, tissue and organ formation, and correct function of the adult body. We focused on two major topics: body segmentation and brain patterning, both of which are essential for conferring a functional complexity to the body ...
Y, Takahashi, N, Osumi, N H, Patel
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Image segmentation based on adaptive K-means algorithm
Image segmentation is an important preprocessing operation in image recognition and computer vision. This paper proposes an adaptive K-means image segmentation method, which generates accurate segmentation results with simple operation and avoids the ...
Xin Zheng +4 more
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With the rapid development of the national power grid, there is an increasing and strict demand for accurate intelligent management. However, the current detection algorithms have limited abilities under adverse conditions, especially in regions like ...
R. Chang +8 more
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We present a theory of quasiperiodic tilings and more general quasiperiodic patterns with long range orientational order. We explain our "strip method" (a variant of the projection methods) on a one dimensional model. Then the icosahedral case is investigated in view of the quasicrystals of the type Al-Mn.
Katz, A., Duneau, M.
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Deep learning for terahertz image denoising in nondestructive historical document analysis
Historical documents contain essential information about the past, including places, people, or events. Many of these valuable cultural artifacts cannot be further examined due to aging or external influences, as they are too fragile to be opened or ...
Balaka Dutta +11 more
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Exploring Misclassification Information for Fine-Grained Image Classification
Fine-grained image classification is a hot topic that has been widely studied recently. Many fine-grained image classification methods ignore misclassification information, which is important to improve classification accuracy.
Da-Han Wang +4 more
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Sparse self-attention aggregation networks for neural sequence slice interpolation
Background Microscopic imaging is a crucial technology for visualizing neural and tissue structures. Large-area defects inevitably occur during the imaging process of electron microscope (EM) serial slices, which lead to reduced registration and semantic
Zejin Wang +4 more
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