Results 71 to 80 of about 5,777,447 (338)

Compressed video ensemble based pseudo-labeling for semi-supervised action recognition

open access: yesMachine Learning with Applications, 2022
Some recent studies have focused on deep learning based semi-supervised learning for action recognition. However, it is difficult to scale up their training because their input is RGB frames, the obtainment of which incurs computational and storage costs.
Hayato Terao   +3 more
doaj   +1 more source

Human Action Recognition From Various Data Modalities: A Review [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
Human Action Recognition (HAR) aims to understand human behavior and assign a label to each action. It has a wide range of applications, and therefore has been attracting increasing attention in the field of computer vision.
Zehua Sun   +3 more
semanticscholar   +1 more source

Meta‐action descriptor for action recognition in RGBD video

open access: yesIET Computer Vision, 2017
Action recognition is one of the hottest research topics in computer vision. Recent methods represent actions based on global or local video features. These approaches, however, lack semantic structure and may not provide a deep insight into the essence ...
Min Huang   +5 more
doaj   +1 more source

Rank Pooling for Action Recognition [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2017
IEEE Transactions on Pattern Analysis and Machine ...
Basura Fernando   +4 more
openaire   +5 more sources

Kernelized covariance for action recognition [PDF]

open access: yes2016 23rd International Conference on Pattern Recognition (ICPR), 2016
In this paper we aim at increasing the descriptive power of the covariance matrix, limited in capturing linear mutual dependencies between variables only. We present a rigorous and principled mathematical pipeline to recover the kernel trick for computing the covariance matrix, enhancing it to model more complex, non-linear relationships conveyed by ...
Cavazza, Jacopo   +3 more
openaire   +2 more sources

Pazopanib Combined With Vincristine and Irinotecan in Relapsed Wilms Tumor: Encouraging Outcomes in a Heavily Pretreated Pediatric Cohort

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background While Wilms tumor (WT) typically has a favorable prognosis, relapsed cases—especially those with high‐risk histology—remain therapeutically challenging after intensive frontline therapy. The combination of vincristine and irinotecan has demonstrated activity in pediatric solid tumors, and pazopanib, a multi‐targeted tyrosine kinase ...
Maria Debora De Pasquale   +6 more
wiley   +1 more source

Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus   +6 more
wiley   +1 more source

Dynamic Equilibrium Module for Action Recognition

open access: yesIEEE Access, 2021
Temporal variations, such as sudden motion, acceleration and occlusions, occur frequently in real-world videos and force video-modeling networks to account for them. However. often they are not beneficial for recognizing actions at coarse granularity and
Qili Zeng, M. Ozan Tezcan, Janusz Konrad
doaj   +1 more source

Inverse Dynamics for Action Recognition [PDF]

open access: yesIEEE Transactions on Cybernetics, 2013
Pose-based approaches for human action recognition are attractive owing to their accurate use of human motion information. Traditionally, such approaches used kinematic features for classification. However, in addition to having high dimensions and a small interclass variation, kinematic features do not consider the interaction of the environment on ...
Al, Mansur   +2 more
openaire   +2 more sources

The MedSupport Multilevel Intervention to Enhance Support for Pediatric Medication Adherence: Development and Feasibility Testing

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction We developed MedSupport, a multilevel medication adherence intervention designed to address root barriers to medication adherence. This study sought to explore the feasibility and acceptability of the MedSupport intervention strategies to support a future full‐scale randomized controlled trial.
Elizabeth G. Bouchard   +8 more
wiley   +1 more source

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