Results 11 to 20 of about 2,558,009 (293)
Video Anomaly Detection Based on Implicit View Transformation [PDF]
Jisuanji kexue, 2022 Existing deep learning-based video anomaly detection methods all detect anomalies in video clips under a single view,ignoring the importance of view information in video anomaly detection.Under a single view,when anomalies are occluded or not obvious,the
LENG Jia-xu, TAN Ming-pi, HU Bo, GAO Xin-bo
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Вопросы образования, 2022 The article presents an assessment of the level of social prestige of the academic profession in Russia and European countries. In literature a thesis about the crisis of academic profession in prevail.
Galina Efimova +2 more
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Who Cares for Social Image? Interactions between Intrinsic Motivation and Social Image Concerns [PDF]
SSRN Electronic Journal, 2013 We consider the interaction of intrinsic motivation and concerns for social approval in a laboratory experiment. We elicit a proxy for Fairtrade preferences before the experiment. In the experiment, we elicit willingness to pay for conventional and Fairtrade chocolate. Treatments vary whether this can be signalled to other participants.
Jana Friedrichsen, Dirk Engelmann
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An Efficient and Effective Model Based on Mean Positive Examples for Social Image Annotation
IEEE Access, 2020 Nowadays, with the rapid growth of imaging and social network, huge volumes of image data are produced and shared on social media. Social image annotation has been an important and challenging task in the fields of computer vision and machine learning ...
Haiyu Song +6 more
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Provenance analysis for instagram photos [PDF]
, 2019 As a feasible device fingerprint, sensor pattern noise (SPN) has been proven to be effective in the provenance analysis of digital images. However, with the rise of social media, millions of images are being uploaded to and shared through social media ...
CT Li +12 more
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On the Prediction of Flickr Image Popularity by Analyzing Heterogeneous Social Sensory Data
Sensors, 2017 The increase in the popularity of social media has shattered the gap between the physical and virtual worlds. The content generated by people or social sensors on social media provides information about users and their living surroundings, which allows ...
Samah Aloufi +2 more
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EEG Classification based on Image Configuration in Social Anxiety Disorder [PDF]
, 2018 The problem of detecting the presence of Social Anxiety Disorder (SAD) using Electroencephalography (EEG) for classification has seen limited study and is addressed with a new approach that seeks to exploit the knowledge of EEG sensor spatial ...
Ajilore, Olusola +6 more
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Medical images, social media and consent [PDF]
Nature Reviews Gastroenterology & Hepatology, 2021 The popularity of social media amongst medical professionals has led to widespread use for both networking and education. Limited professional guidance exists on the sharing of medical imagery on these platforms. This Comment explores consent and offers reflective advice on the use of medical images on social media.
Jonathan P. Segal, Richard Hansen
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A study on the Social Image of Librarians in Taiwan
Tūzī yǔ dàng’àn xuékān, 2016 As time advances and society changes, the importance of the image is especially worth noting in the marketing era with the emphasis of sophistication, packaging, and brand.
Cheng-Huang Lin, Yi-Zhen He
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PRNU-based image classification of origin social network with CNN [PDF]
, 2018 A huge amount of images are continuously shared on social networks (SNs) daily and, in most of cases, it is very difficult to reliably establish the SN of provenance of an image when it is recovered from a hard disk, a SD card or a smartphone memory ...
goljan +6 more
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