Results 241 to 250 of about 10,377,024 (298)
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Position-based face hallucination method
2009 IEEE International Conference on Multimedia and Expo, 2009In this paper, we propose a novel face hallucination method to reconstruct a high-resolution face image from a lowresolution observation based on a set of high- and lowresolution local training image pairs. Instead of basing on probabilistic or manifold learning models, the proposed method synthesizes the high-resolution image patch using the same ...
Xiang Ma, Junping Zhang, Chun Qi
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Surgical options in the face of positive pressure
Journal of Cataract and Refractive Surgery, 2006Positive pressure during cataract surgery can adversely affect the clinical outcome if the surgeon is unprepared. A variety of surgical maneuvers are described, including dry insertion of the phacoemulsification needle, capsule protection with the second instrument, dry cortical aspiration in an ophthalmic viscosurgical device (OVD) environment ...
Christopher, Khng, Robert H, Osher
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The evidence-base for positive psychology interventions: a mega-analysis of meta-analyses
Journal of Positive Psychology, 2023This study provides a quantitative synthesis of meta-analytic evidence for the effectiveness of very broadly defined positive psychological interventions (PPIs), i.e.
A. Carr +11 more
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Face-to-Face Contact Method for Humanoid Robots Using Face Position Prediction
2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2019It is an important functional behavior for humanoid robots to have face-to-face contact with humans. We predict future face position to achieve natural behavior that is similar to the communication between people. Robots gaze at a prediction point for reducing mechanical delay.
Yuki Okafuji, Jun Baba, Junya Nakanishi
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Annals of the New York Academy of Sciences, 2003
Although several theorists posit the existence of multiple discrete positive emotion states,1–4 much empirical research on the nature and consequences of emotion considers only one: happiness.5–8 Studies of the facial display of emotion have documented universally recognized expressions of sadness, anger, fear, and other negative emotions, but have not
Michelle N, Shiota +2 more
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Although several theorists posit the existence of multiple discrete positive emotion states,1–4 much empirical research on the nature and consequences of emotion considers only one: happiness.5–8 Studies of the facial display of emotion have documented universally recognized expressions of sadness, anger, fear, and other negative emotions, but have not
Michelle N, Shiota +2 more
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Positive Transformation in the Face of Adversity
Academy of Management Proceedings, 2016From workplace violence to lay-offs, people experience a variety of traumatic experiences at work. While there is clear evidence that employees suffer from these events, there is reason to believe that employees may also benefit from these travails.
Emily Amdurer, Diane Bergeron
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Issues Related to Face Recognition Accuracy Varying Based on Race and Skin Tone
IEEE Transactions on Technology and Society, 2020Face recognition technology has recently become controversial over concerns about possible bias due to accuracy varying based on race or skin tone. We explore three important aspects of face recognition technology related to this controversy.
K. Krishnapriya +4 more
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Face Tissue Pressure in Prone Positioning
Spine, 2008This is a prospective, randomized study.The purpose was to compare the tissue-pillow interface pressures at the forehead and chin in patients positioned in the prone fashion for spinal surgery on each of 3 facial positioners.Facial pressure ulcers have been infrequently observed after spinal surgery requiring prone positioning. This requires the use of
Margaret, Grisell, Howard M, Place
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Face Tracking Based on 3D Positional Hypothesis
2009 Seventh International Conference on Advances in Pattern Recognition, 2009Probabilistic and statistical model analysis methods based on the Bayesian approach have recently been applied to face tracking. Here, we propose a face tracking method based on a Bayesian framework of image sequences. We assume that an observed space is three-dimensional (3D) and model facial shape, rotation and translation in 3D.
Yuzuko Utsumi +2 more
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Positive-Unlabeled Learning in the Face of Labeling Bias
2015 IEEE International Conference on Data Mining Workshop (ICDMW), 2015Positive-Unlabeled (PU) learning scenarios are a class of semi-supervised learning where only a fraction of the data is labeled, and all available labels are positive. The goal is to assign correct (positive and negative) labels to as much data as possible.
Noah Youngs +2 more
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