Results 161 to 170 of about 4,716 (218)
Arthritis Care &Research, EarlyView.Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah +4 more
wiley +1 more source
Development of a Disease Activity Index for the Assessment of VEXAS Syndrome (VEXAS‐DAI)
Arthritis Care &Research, EarlyView.Objective Vacuoles, E1 enzyme, X‐linked, autoinflammatory, somatic syndrome (VEXAS) syndrome is characterized by a complex spectrum of inflammatory and hematologic manifestations. Clinical research to identify effective therapies is urgently needed but is hindered by the lack of validated outcome measures.
Kevin Byram +25 more
wiley +1 more source
Arthritis Care &Research, EarlyView.Objective Youth who experience a sport‐related knee injury have elevated odds of becoming overweight or developing obesity in 3 to 10 years, compounding their risk for posttraumatic osteoarthritis (PTOA). To inform prevention strategies, this study compared patterns of adiposity change between youth with a sport‐related knee injury and uninjured youth ...
Justin M. Losciale +6 more
wiley +1 more source
Arthritis Care &Research, Accepted Article.Objective Systemic lupus erythematosus (SLE) significantly impacts employment capacity. This study aimed to investigate the impact of burden of disease activity, damage, and treatment on employment outcomes and transitions in patients with SLE. Materials and Methods Using data from a single center, we analyzed employment transitions, adjusted mean ...
Javier Mencia‐Ledo +4 more
wiley +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
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Learning Features for Tracking
2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007We treat tracking as a matching problem of detected key-points between successive frames. The novelty of this paper is to learn classifier-based keypoint descriptions allowing to incorporate background information. Contrary to existing approaches, we are able to start tracking of the object from scratch requiring no off-line training phase before ...
Michael Grabner +2 more
openaire +2 more sources
2017 10th International Symposium on Computational Intelligence and Design (ISCID), 2017
Multiple kernel learning methods have been successfully applied to visual tracking by finding the best combination of the kernels using boosting techniques. However, they are still not effective in tracking objects with large appearance variations and are not able to generate qualified combinations.
Shaokun Feng, Yanan Zhao
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Multiple kernel learning methods have been successfully applied to visual tracking by finding the best combination of the kernels using boosting techniques. However, they are still not effective in tracking objects with large appearance variations and are not able to generate qualified combinations.
Shaokun Feng, Yanan Zhao
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The Efficient Features for Tracking
2008 20th IEEE International Conference on Tools with Artificial Intelligence, 2008In computer vision, optical flow is very useful in tracking objects from frame to frame. The well-known KLT (Kanade-Lucas-Tomasi) of the differential method can trace local features through a generalized affine transform explained by six parameters.
Hyeongyong Jeon +3 more
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2010 20th International Conference on Pattern Recognition, 2010
In this paper, we propose a visual tracking approach based on "bag of features" (BoF) algorithm. We randomly sample image patches within the object region in training frames for constructing two codebooks using RGB and LBP features, instead of only one codebook in traditional BoF. Tracking is accomplished by searching for the highest similarity between
Fan Yang 0016 +2 more
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In this paper, we propose a visual tracking approach based on "bag of features" (BoF) algorithm. We randomly sample image patches within the object region in training frames for constructing two codebooks using RGB and LBP features, instead of only one codebook in traditional BoF. Tracking is accomplished by searching for the highest similarity between
Fan Yang 0016 +2 more
openaire +1 more source
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition CVPR-94, 1994
No feature-based vision system can work unless good features can be identified and tracked from frame to frame. Although tracking itself is by and large a solved problem, selecting features that can be tracked well and correspond to physical points in the world is still hard.
Shi, Jianbo, Tomasi, Carlo
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No feature-based vision system can work unless good features can be identified and tracked from frame to frame. Although tracking itself is by and large a solved problem, selecting features that can be tracked well and correspond to physical points in the world is still hard.
Shi, Jianbo, Tomasi, Carlo
openaire +1 more source