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Toward an Anthropology of Public Policy

Janine R. Wedel, Cris Shore, Gregory Feldman, Stacy Lathrop • The Annals of the American Academy of Political and Social Science (2005)

As the rational choice model of “policy” proliferates in “policy studies, ” the social sciences, modern governments, organizations, and everyday life, a number of anthropologists are beginning to develop a body of work in the anthropology o...

OPENALEX DOI: https://doi.org/10.1177/0002716205276734

Segmentation of muscle tissue in computed tomography images at the level of the L3 vertebra

A. R. Teplyakova, R. V. Shershnev, S. O. Starkov, V. A. Kukarskaya • Научно-технический вестник информационных технологий, механики и оптики (2024)

With the increasing routine workload on radiologists associated with the need to analyze large numbers of images, there is a need to automate part of the analysis process. Sarcopenia is a condition in which there is a loss of muscle mass. T...

DOAJ Open Access (DOAJ) DOI: 10.17586/2226-1494-2024-24-1-124-132

Robust Techniques for Computer Vision

Peter Meer, B. Tordoff, P. H. S. Torr, C. Davidson et al. (2004)

ysis 1995, pages 191--208. AddisonWesley Longman, 1996. [116] R. H. Zamar. Robust estimation in the errors-in-variables model. Biometrika, 76:149-- 160, 1989. [117] Z. Zhang. Determining the epipolar geometry and its uncertainty: A review. ...

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Gestalt Theory and Computer Vision

Agnès Desolneux, Lionel Moisan, Jean‐Michel Morel • Kluwer Academic Publishers eBooks (2006)

In the Wertheimer programme there are two kinds of organizing laws. The rst kind are grouping laws which, starting from atomic and local data, recursively construct larger groups in the perceived image. Each grouping law focuses on a single...

OPENALEX DOI: https://doi.org/10.1007/1-4020-2081-3_4

A Self-Supervised One-Shot Learning Approach for Seismic Noise Reduction

Catarina de Nazaré Pereira Pinheiro, Roosevelt de Lima Sardinha, Pablo Machado Barros, André Bulcão et al. • Applied Sciences (2024)

Neural networks have been used in various computer vision applications, including noise removal. However, removing seismic noise via deep learning approaches faces a specific issue: the scarcity of labeled data. To address this difficulty, ...

DOAJ Open Access (DOAJ) DOI: 10.3390/app14219721

A Transformer-Based Approach for Efficient Geometric Feature Extraction from Vector Shape Data

Longfei Cui, Xinyu Niu, Haizhong Qian, Xiao Wang et al. • Applied Sciences (2025)

The extraction of shape features from vector elements is essential in cartography and geographic information science, supporting a range of intelligent processing tasks. Traditional methods rely on different machine learning algorithms tail...

DOAJ Open Access (DOAJ) DOI: 10.3390/app15052383