Results 21 to 30 of about 3,422,515 (359)
Re-ranking Person Re-identification with k-Reciprocal Encoding [PDF]
Computer Vision and Pattern Recognition, 2017 When considering person re-identification (re-ID) as a retrieval process, re-ranking is a critical step to improve its accuracy. Yet in the re-ID community, limited effort has been devoted to re-ranking, especially those fully automatic, unsupervised ...
Zhun Zhong +3 more
semanticscholar +1 more source
The person-to-person transmission landscape of the gut and oral microbiomes
Nature, 2023 The human microbiome is an integral component of the human body and a co-determinant of several health conditions^ 1 , 2 . However, the extent to which interpersonal relations shape the individual genetic makeup of the microbiome and its transmission ...
Mireia Valles-Colomer +42 more
semanticscholar +1 more source
BMC Psychiatry, 2016 Background Screening children for behavioural difficulties requires the use of a tool that is culturally valid. We explored the cross-cultural acceptability and utility of the Strengths and Difficulties Questionnaire for pre-school children (aged 3–5) as
Paula Kersten +6 more
doaj +1 more source
Omni-Scale Feature Learning for Person Re-Identification [PDF]
IEEE International Conference on Computer Vision, 2019 As an instance-level recognition problem, person re-identification (ReID) relies on discriminative features, which not only capture different spatial scales but also encapsulate an arbitrary combination of multiple scales.
Kaiyang Zhou +3 more
semanticscholar +1 more source
BMC Health Services Research, 2019 Background Outcomes-based policy and administration of public services present a compelling argument for the value of outcomes data. However, there are a number of challenges inherent in collecting these data from people who are unable to complete a ...
James Caiels +4 more
doaj +1 more source
Unsupervised Person Re-Identification via Multi-Label Classification [PDF]
Computer Vision and Pattern Recognition, 2020 The challenge of unsupervised person re-identification (ReID) lies in learning discriminative features without true labels. This paper formulates unsupervised person ReID as a multi-label classification task to progressively seek true labels.
Dongkai Wang, Shiliang Zhang
semanticscholar +1 more source
Neoliberalismo en la Universidad Metropolitana de Manchester... y una alternativa
Revista Teknokultura, 2012 Una campaña contra la persecución a miembros del sindicato de la Metropolitan University of Manchester (MMU) ha logrado una victoria importante. La campaña ha sido liderada por el University and College Union (UCU) y un grupo de estudiantes de postgrado ...
Third Person
doaj +5 more sources
Frontiers in Sociology, 2023 In recent years, along with the rise of new technologies such as AI, IoT, and Bigdata, there has been much discussion replacing entire cities with smart cities. These discussions have given rise to questions about what kind of society should be realized,
Atsunobu Kimura +3 more
doaj +1 more source
BMC Health Services Research, 2018 Background The assessment and evaluation of practical and sustainable development of health care has become a major focus of investigation in health services research.
Febe Friberg +8 more
doaj +1 more source
RMPE: Regional Multi-person Pose Estimation [PDF]
IEEE International Conference on Computer Vision, 2016 Multi-person pose estimation in the wild is challenging. Although state-of-the-art human detectors have demonstrated good performance, small errors in localization and recognition are inevitable.
Haoshu Fang +3 more
semanticscholar +1 more source