Results for 'Vibe Frokjaer'

6 found
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  1.  14
    Mindfulness Training Affects Attention—Or is It Attentional Effort?Christian Gaden Jensen, Signe Vangkilde, Vibe Frokjaer & Steen G. Hasselbalch - 2012 - Journal of Experimental Psychology: General 141 (1):106-123.
  2.  7
    Negative Association Between Allopregnanolone and Cerebral Serotonin Transporter Binding in Healthy Women of Fertile Age.Inger Sundström Poromaa, Erika Comasco, Torbjörn Bäckström, Marie Bixo, Peter Jensen & Vibe G. Frokjaer - 2019 - Frontiers in Psychology 9.
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  3. From Affectivity to Bodily Emanation: An Introduction to the Human Vibe.Jason Del Gandio - 2012 - PhaenEx 7 (2):28-58.
    This essay investigates a particular form of “affection” that has been neglected by the phenomenological tradition. This particular phenomenon is often referred to as the vibe, vibrations, or some variation thereof. This essay rearticulates “the vibe” as bodily emanation: human beings emanate feeling that is experienced by and through our bodies. My study of bodily emanation begins with Edmund Husserl’s notion of affectivity and then moves to Eugene T. Gendlin’s notion of the sentient body. This discussion enables my (...)
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  4.  22
    Sonic Warfare: Sound, Affect, and the Ecology of Fear.Steve Goodman - 2010 - MIT Press.
    An exploration of the production, transmission, and mutation of affective tonality—when sound helps produce a bad vibe.
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  5. Detection and Adaptive Video Processing of Hyperopia Scene in Sports Video.Qingjie Chen & Minkai Dong - 2021 - Complexity 2021:1-13.
    In the research of motion video, the existing target detection methods are susceptible to changes in the motion video scene and cannot accurately detect the motion state of the target. Moving target detection technology is an important branch of computer vision technology. Its function is to implement real-time monitoring, real-time video capture, and detection of objects in the target area and store information that users are interested in as an important basis for exercise. This article focuses on how to efficiently (...)
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    Deep Convolutional Generative Adversarial Network and Convolutional Neural Network for Smoke Detection.Hang Yin, Yurong Wei, Hedan Liu, Shuangyin Liu, Chuanyun Liu & Yacui Gao - 2020 - Complexity 2020:1-12.
    Real-time smoke detection is of great significance for early warning of fire, which can avoid the serious loss caused by fire. Detecting smoke in actual scenes is still a challenging task due to large variance of smoke color, texture, and shapes. Moreover, the smoke detection in the actual scene is faced with the difficulties in data collection and insufficient smoke datasets, and the smoke morphology is susceptible to environmental influences. To improve the performance of smoke detection and solve the problem (...)
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