Results 11 to 20 of about 253,866 (247)
Procedure Planning in Instructional Videos via Contextual Modeling and Model-based Policy Learning [PDF]
IEEE International Conference on Computer Vision, 2021 Learning new skills by observing humans’ behaviors is an essential capability of AI. In this work, we leverage instructional videos to study humans’ decision-making processes, focusing on learning a model to plan goal-directed actions in real-life videos.
Jing Bi, Jiebo Luo, Chenliang Xu
semanticscholar +1 more source
Development and evaluation of a robotic system for lumbar puncture and epidural steroid injection
Frontiers in Neurorobotics, 2023 IntroductionLumbar puncture is an important medical procedure for various diagnostics and therapies, but it can be hazardous due to individual variances in subcutaneous soft tissue, especially in the elderly and obese.
Jiaxin Lu +5 more
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Multivariate Pattern Recognition in MSPC Using Bayesian Inference
Mathematics, 2021 Multivariate Statistical Process Control (MSPC) seeks to monitor several quality characteristics simultaneously. However, it has limitations derived from its inability to identify the source of special variation in the process.
Jose Ruiz-Tamayo +5 more
semanticscholar +1 more source
Scientific Reports, 2022 Most current models of recognition memory fail to separately model item and person heterogeneity which makes it difficult to assess ability at the latent construct level and prevents the administration of adaptive tests.
Jeremie Güsten +3 more
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Determination of Groups of Risks at the Diseases COVID-19
Кібернетика та комп'ютерні технології, 2020 Introduction. In the group of risk at people with COVID-19 there are persons with the such chronic diseases: heart-vessel system; respiratory system; endocrine system; oncologic diseases; immune-deficit states; patients with kidney insufficiency.
A.A. Vagis, A.M. Gupal, N.A. Gupal
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Invertible Zero-Shot Recognition Flows [PDF]
European Conference on Computer Vision, 2020 Deep generative models have been successfully applied to Zero-Shot Learning (ZSL) recently. However, the underlying drawbacks of GANs and VAEs (e.g., the hardness of training with ZSL-oriented regularizers and the limited generation quality) hinder the ...
Yuming Shen, Jie Qin, Lei Huang
semanticscholar +1 more source
Applied Sciences, 2023 Real-time tool condition monitoring (TCM) is becoming more and more important to meet the increased requirement of reducing downtime and ensuring the machining quality of manufacturing systems.
Zhimeng Li +5 more
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JMIR Research Protocols, 2023 BackgroundFollowing total knee arthroplasty (TKA), 10% to 20% of patients report dissatisfaction with procedural outcomes. There is growing recognition that postsurgical satisfaction is shaped not only by the quality of surgery ...
Karen Ribbons +9 more
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Forensic Face Recognition: A Survey [PDF]
, 2010 Beside a few papers which focus on the forensic aspects of automatic face recognition, there is not much published about it in contrast to the literature on developing new techniques and methodologies for biometric face recognition.
Ali, Tauseef +2 more
core +7 more sources
Performance Criteria for the Identification of Inertial Sensor Error Models
Sensors, 2019 This paper considers performance criteria for the identification of sensor error models and the procedure for their calculation. These criteria are used to investigate the efficiency of the identification problem solution, depending on the initial data ...
Oleg Stepanov, Andrei Motorin
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