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[HTML][HTML] The need for multidimensional stratification of chronic low back pain (LBP)

YR Rampersaud, A Bidos, C Fanti, AV Perruccio - Spine, 2017 - journals.lww.com
Study Design. A cross-sectional study of Canadian patients suffering from low back pain (LBP)
seeking primary care. Objective. The aim of this study was to determine which existing …

[HTML][HTML] Improving spine surgical access, appropriateness and efficiency in metropolitan, urban and rural settings

M Zarrabian, A Bidos, C Fanti, B Young… - Canadian Journal of …, 2017 - ncbi.nlm.nih.gov
Background The Inter-professional Spine Assessment and Education Clinics (ISAEC) were
developed to improve primary care assessment, education and management of patients with …

Preliminary report from the Ontario interprofessional spine assessment and education clinics (ISAEC)

RY Rampersaud, A Bidos, CL Fanti… - The Spine …, 2014 - thespinejournalonline.com
Preliminary Report from the Ontario Interprofessional Spine Assessment and Education
Clinics (ISAEC) Page 1 PURPOSE: The aim was to investigate the structural principles …

How video production affects student engagement: An empirical study of MOOC videos

PJ Guo, J Kim, R Rubin - Proceedings of the first ACM conference on …, 2014 - dl.acm.org
… are that shorter videos are much more engaging, that informal talking-head videos are more
… for engaging online videos, and that students engage differently with lecture and tutorial …

[HTML][HTML] Effective educational videos: Principles and guidelines for maximizing student learning from video content

CJ Brame - CBE—Life Sciences Education, 2017 - Am Soc Cell Biol
… of Khan Academy videos was that videos that offered the … Zubair developed videos on that
were embedded in a larger … students valued the videos and that the videos improved students’ …

Video Google: A text retrieval approach to object matching in videos

Sivic, Zisserman - Proceedings ninth IEEE international …, 2003 - ieeexplore.ieee.org
We describe an approach to object and scene retrieval which searches for and localizes all
the occurrences of a user outlined object in a video. The object is represented by a set of …

Unsupervised learning of visual representations using videos

X Wang, A Gupta - … of the IEEE international conference on …, 2015 - openaccess.thecvf.com
… (a) Given unlabeled videos, we perform unsupervised tracking on the patches in them. (b) …
the last frame, and random patch from other videos are fed into our siamese-triplet network for …

Face recognition in unconstrained videos with matched background similarity

L Wolf, T Hassner, I Maoz - CVPR 2011, 2011 - ieeexplore.ieee.org
… duplicate videos by considering two videos’ names with edit distance less than 3 to be
duplicates. Downloaded videos are then split to frames at 24fps. We detect faces in these videos

Generating videos with scene dynamics

C Vondrick, H Pirsiavash… - Advances in neural …, 2016 - proceedings.neurips.cc
… However, here we are interested in generating short videos … Our framework can generate
videos for longer time scales … Firstly, we explore how to generate videos from scratch (not …

UCF101: A dataset of 101 human actions classes from videos in the wild

K Soomro, AR Zamir, M Shah - arXiv preprint arXiv:1212.0402, 2012 - arxiv.org
We introduce UCF101 which is currently the largest dataset of human actions. It consists of
101 action classes, over 13k clips and 27 hours of video data. The database consists of …
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