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Incorporating feature hierarchy and boosting to achieve more effective classifier training and concept-oriented video summarization and skimming
2008
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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Second, a novel multi-modal boosting algorithm is developed to achieve more reliable video classifier training by incorporating feature hierarchy and boosting to dramatically reduce both the training cost ...
Finally, the results of semantic video classification are incorporated to enable concept-oriented video summarization and skimming. ...
ACKNOWLEDGMENTS The authors thank the reviewers for their useful comments and insight suggestions to make this paper more readable. We also want to thank the Associate Editor Prof. ...
doi:10.1145/1324287.1324288
fatcat:gu7ti4jopzd5dagwjzk3flcow4
A Survey on Visual Content-Based Video Indexing and Retrieval
2011
IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)
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boundary detection, key frame extraction and scene segmentation, extraction of features including static key frame features, object features and motion features, video data mining, video annotation, video ...
retrieval including query interfaces, similarity measure and relevance feedback, and video browsing. ...
[32] , [253] propose a hierarchical boosting scheme, which incorporates concept ontology and multitask learning, to train a hierarchical video classifier that exploits the strong correlations between ...
doi:10.1109/tsmcc.2011.2109710
fatcat:qtenus4htffcfbyuiwidgjojku
Video Big Data Analytics in the Cloud: A Reference Architecture, Survey, Opportunities, and Open Research Issues
2020
IEEE Access
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We propose a service-oriented layered reference architecture for intelligent video big data analytics in the cloud. ...
It also aims to bridge the gap among large-scale video analytics challenges, big data solutions, and cloud computing. ...
The video summarization can be classified as Static Video Abstracts, Dynamic Video Skimming, and Video Synopsis.
1) STATIC VIDEO ABSTRACT These approaches include a video table of contents, a storyboard ...
doi:10.1109/access.2020.3017135
fatcat:qc62bhzlrfcwblnvurb5okfjxe
The Hidden Inconsistencies Introduced by Predictive Algorithms in Judicial Decision Making
[article]
2020
arXiv
pre-print
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These inconsistencies threaten to violate the principle of treating similar cases similarly and often arise from the need to operationalize legal concepts and human behavior into specific measures that ...
We also consider the issue of inconsistencies due to the use of algorithms in light of current trends towards more autonomous algorithms and less human-understandable behavioral big data. ...
The goal of this process is to achieve an optimal balance between model complexity and fit, effectively detecting just the predictive signal in the training data and discarding noise. ...
arXiv:2012.00289v1
fatcat:2zavmmbfmvgzfj7kj56fwuysyi
Encryption and encoding of facial images into quick response and high capacity color 2d code for biometric passport security system
[article]
2022
arXiv
pre-print
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is achieved. ...
facial mark size recognition is initially achieved. ...
There are more chances of vulnerabilities due to skimming. ...
arXiv:2203.15738v1
fatcat:2xqfpcweb5bppjcfk27yx5z7z4
Sensor-Based Activity Recognition
2012
IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)
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We make a primary distinction in this paper between data-driven and knowledge-driven approaches, and use this distinction to structure our survey. ...
In this paper we present a comprehensive survey to examine the development and current status of various aspects of sensor-based activity recognition. ...
based on features of the training data. ...
doi:10.1109/tsmcc.2012.2198883
fatcat:6s6uew7xhjglva2wikyulmduiy
Ubiquitous Computing for Capture and Access
2007
Foundations and Trends® in Human–Computer Interaction
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People may want to recall a multitude of experiences and information from everyday life. ...
Human memory, however, has its limitations and can be insufficient for capturing and allowing access to salient information and important details over time. ...
Other effective methods for summarizing and visualizing captured content may remain, and need to be developed and studied. ...
doi:10.1561/1100000014
fatcat:bgvjffmnpngojjlksmoiswnb64
A Multi-Lingually Applicable Journalist Toolset For The Big-Data Era
2016
Zenodo
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Acknowledgments I would like to thank Dr. Octavian Popescu for his constant guidance, endless suggestions and encouragement and full support to finish this work. ...
Acknowledgments: The authors would like to thank the anonymous reviewers for their helpful comments and suggestions. ...
be treated as features to train a classifier for bias detection task. ...
doi:10.5281/zenodo.1242850
fatcat:nfkqg7jhjffdvgezdjzc6xxppa
A high-bias, low-variance introduction to Machine Learning for physicists
[article]
2019
arXiv
pre-print
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The purpose of this review is to provide an introduction to the core concepts and tools of machine learning in a manner easily understood and intuitive to physicists. ...
more advanced topics in both supervised and unsupervised learning. ...
In this case, one may want to instead use features in the middle of the CNN to train our new classifier. These features are thought to be less fine-tuned and more universal (e.g. edge detectors). ...
arXiv:1803.08823v2
fatcat:vmtp62jyvjfxhpidpdcozfnza4
SERVICE MARKETING
[article]
2022
Zenodo
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Service marketing for BBA, Bcom and MBA ...
Goal Oriented -Every businessman or entrepreneur are motivated to earn more profit and to achieve a high level of target. ...
would be any demand for the product, and what features should be incorporated. ...
doi:10.5281/zenodo.6295073
fatcat:7a5onfvnw5aobco3fu7q22vsuq
One Thing for All Learners
2018
To Improve the Academy
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With the support of the Davis Educational Foundation, we have had the resources required to work with faculty before, during, and after they taught a course included in the project. ...
The first author was supported by the National Science Foundation Graduate Fellowship
Disclosure The Nguyen and McDaniel (2013b) study used materials related to an e-textbook project with Worth Publishers ...
The Pre-training Principle People learn more deeply from a multimedia message when they have learned the names and characteristics of the main concepts. ...
doi:10.3998/tia.17063888.0037.111
fatcat:jhvzsjd6cvh75brq2jij7ubgrq
Abstracts of the 20th European Conference on Eye Movements, 18-22 August 2019, in Alicante (Spain)
2019
Journal of Eye Movement Research
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This document contains all abstracts of the 20th European Conference on Eye Movements, August 18-22, 2019, in Alicante, Spain Video stream "Glimpses at 20th ECEM": https://vimeo.com/user43478756. ...
Results: We observed improved performance on incentivized trials (more so for reward than penalty) looking at peak velocity and reaction times. ...
Higher dopamine levels led to faster simple reaction times but not choice reaction times and a trend towards higher reward sensitivity was observed. Data collection is currently ongoing. ...
doi:10.16910/jemr.12.7.1
pmid:33828763
pmcid:PMC7917478
fatcat:wqzwn552cndsnablyikzx3og5e
Vol. 2, No. 3, September 2009
2009
English Language Teaching
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To sum up, it is important to pay more attention to aural English teaching, and we still have a long way to go. ...
It is hard for a teacher to control the number of the students. Anyway, as a teacher, one would try the best to pay more attention to every student and help them as much as they could. ...
numbers to write down key concepts, the higher scores they achieve in the video comprehension test. ...
doi:10.5539/elt.v2n3p0
fatcat:buraiij6cvamnhthqhvkgehmx4
Computer-Assisted Analysis of Biomedical Images
[article]
2021
arXiv
pre-print
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Nowadays, the amount of heterogeneous biomedical data is increasing more and more thanks to novel sensing techniques and high-throughput technologies. ...
In reference to biomedical image analysis, the advances in image acquisition modalities and high-throughput imaging experiments are creating new challenges. ...
channel-wise feature recalibration to boost the generalization performance. ...
arXiv:2106.04381v1
fatcat:osqiyd3sbja3zgrby7bf4eljfm
On the Opportunities and Risks of Foundation Models
[article]
2022
arXiv
pre-print
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., BERT, DALL-E, GPT-3) that are trained on broad data at scale and are adaptable to a wide range of downstream tasks. ...
principles(e.g., model architectures, training procedures, data, systems, security, evaluation, theory) to their applications (e.g., law, healthcare, education) and societal impact (e.g., inequity, misuse ...
and technical principles (e.g., model architectures, training procedures, data, systems, security, evaluation, theory) to their applications (e.g., law, healthcare, education) and societal impact (e.g ...
arXiv:2108.07258v3
fatcat:kohwrwk2ybf7fd7wsuz2gp65ki
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