Results 11 to 20 of about 9,950,632 (301)
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
openaire +2 more sources
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
openaire +2 more sources
A principled representation of elongated structures using heatmaps
The detection of elongated structures like lines or edges is an essential component in semantic image analysis. Classical approaches that rely on significant image gradients quickly reach their limits when the structure is context-dependent, amorphous ...
Florian Kordon +5 more
doaj +1 more source
Hierarchical incremental class learning with reduced pattern training [PDF]
Hierarchical Incremental Class Learning (HICL) is a new task decomposition method that addresses the pattern classification problem. HICL is proven to be a good classifier but closer examination reveals areas for potential improvement.
Bao, C, Guan, SU, Sun, RT
core +1 more source
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
openaire +2 more sources
Pattern matching and pattern discovery algorithms for protein topologies [PDF]
We describe algorithms for pattern matching and pattern learning in TOPS diagrams (formal descriptions of protein topologies). These problems can be reduced to checking for subgraph isomorphism and finding maximal common subgraphs in a restricted ...
C. Bron +14 more
core +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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.
openaire +3 more sources

