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Learning Neural Textual Representations for Citation Recommendation
2021
2020 25th International Conference on Pattern Recognition (ICPR)
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Semi-supervised Deep Learning Techniques for Spectrum Reconstruction Hong, Hanbin; Bao, Wentao; Hong, Yuan; Kong, Yu 1187 Privacy Attributes-Aware Message Passing Neural Network for Visual Privacy Attributes ...
Learning Feature
Embeddings
DAY 2 -Jan 13, 2021
Buizza, Caterina Emilia Agelide;
Demiris, Yiannis
2160
Rotational Adjoint Methods for Learning-Free 3D Human Pose
Estimation from IMU Data
DAY ...
doi:10.1109/icpr48806.2021.9412725
fatcat:3vge2tpd2zf7jcv5btcixnaikm
Deep Neural Mobile Networking
[article]
2020
arXiv
pre-print
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In particular, deep learning based solutions can automatically extract features from raw data, without human expertise. ...
human experts. ...
), which
ral Network (STN), to solve the traffic forecasting problem posed in Sec. 3.1. ...
arXiv:2011.05267v1
fatcat:yz2zp5hplzfy7h5kptmho7mbhe
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies
[article]
2020
arXiv
pre-print
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Almost at the same time, deep learning has made breakthrough by several pioneers, three of them (also called fathers of deep learning), Hinton, Bengio and LeCun, won ACM Turin Award in 2019. ...
This is a survey of autonomous driving technologies with deep learning methods. ...
in the crowd through a message passing mechanism. ...
arXiv:2006.06091v3
fatcat:nhdgivmtrzcarp463xzqvnxlwq
Monocular human pose estimation: A survey of deep learning-based methods
2020
Computer Vision and Image Understanding
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2020 pre-print arXiv:2006.01423v1 fatcat:4fxoc4zfanhw7enfubmzbuye3q
This survey extensively reviews the recent deep learning-based 2D and 3D human pose estimation methods published since 2014. ...
The recent developments of deep learning techniques have been brought significant progress and remarkable breakthroughs in the field of human pose estimation. ...
Yucheng Chen's contribution was made when he was a visiting student at the City University of New York, sponsored by the Chinese Scholarship Council. ...
doi:10.1016/j.cviu.2019.102897
fatcat:7gf3exlfgrax7dnxrmv2pphzvy
Sentiment analysis using deep learning approaches: an overview
2019
Science China Information Sciences
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, and generative adversarial networks. ...
Consequently, to cope with the new trend of data, where efficient approaches for sentiment analysis are needed, researchers realized that the DL approaches give incredible results as affirmed by [5, 47 ...
Inspired by the human reading capability, Mishra et al. ...
doi:10.1007/s11432-018-9941-6
fatcat:nbevrfiyybhszirol2af26c6ve
CNN-based Density Estimation and Crowd Counting: A Survey
[article]
2020
arXiv
pre-print
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Limited by the cost of time and energy, we cannot analyze all the algorithms. ...
Accurately estimating the number of objects in a single image is a challenging yet meaningful task and has been applied in many applications such as urban planning and public safety. ...
ACKNOWLEDGMENT The authors would like to thank reviewers for their valuable suggestions and comments. ...
arXiv:2003.12783v1
fatcat:uqsoismxkzft7audwvdpr3dt7q
Surgical Data Science – from Concepts toward Clinical Translation
[article]
2021
arXiv
pre-print
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Recent developments in data science in general and machine learning in particular have transformed the way experts envision the future of surgery. ...
In this publication, we shed light on the underlying reasons and provide a roadmap for future advances in the field. ...
Such tools allow arbitrary devices to take part in communication by registering via a message broker, where messages can typically be filtered by their origin, type, destination, for instance. ...
arXiv:2011.02284v2
fatcat:i5mq42uevjfxjmji5xdap3kgse
Deep Learning for Generic Object Detection: A Survey
2019
International Journal of Computer Vision
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We finish the survey by identifying promising directions for future research. ...
Deep learning techniques have emerged as a powerful strategy for learning feature representations directly from data and have led to remarkable breakthroughs in the field of generic object detection. ...
This work has been supported by the Center for Machine Vision and Signal Analysis at the University of Oulu (Finland) and the National Natural Science Foundation of China under Grant 61872379. ...
doi:10.1007/s11263-019-01247-4
fatcat:isdmz4febvbthgowo33c6ifhm4
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Comparative Study
[article]
2022
arXiv
pre-print
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Deep weakly-supervised object localization (WSOL) methods provide different strategies for low-cost training of deep learning models. ...
Using deep learning models to diagnose cancer from histology data presents several challenges. ...
Features enhancement methods. Other methods aim to improve localization by learning better features. ...
arXiv:1909.03354v5
fatcat:cbkan6dnl5ctdankkv4tblso6e
Generic Tasks in Knowledge-Based Reasoning: High-Level Building Blocks for Expert System Design
1986
IEEE Expert
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Acknowledgments We are thankful to Dean Allemang for his comments on an earlier version of this paper. ...
We are grateful also for the support of the Defense Advanced Research Projects Agency, RADC Contract F30602-85-C-0010, and the Air Force Office of Scientific Research. , grant 87-0090. ...
Each of them has knowledge only about establishing or rejecting the relevance of a conceptual category, and communicates with others by passing messages. ...
doi:10.1109/mex.1986.4306977
fatcat:i5pusmhyazep3mamqaeiyzvvry
Training Deep Networks with Material-Aware Supervision
2022
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Deep learning is a strong tool for predicting scene properties from images. Typical supervised methods require large scale real data with ground truth, which is hard to obtain. ...
As a second contribution, we demonstrate a method for recovering human texture and geometry from an RGB-D video, as an example of photometric supervision from Lambertian material model. ...
AP [53] selects bands by exemplar-based clustering and message passing. ...
doi:10.1184/r1/19699948.v1
fatcat:a2px474hgbc3hlv47dce5xqqiu
Beliefs About Learning English As A Foreign Language – Experience Of Deaf And Hard-Of-Hearing Polish Adolescents
2017
Zenodo
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The results show both the potential of the students and areas for teachers' intervention, thus providing important input for surdo-glottodidactics. ...
in the learning process. ...
The merit of the model for the present study is reflected by its correspondence with the standards for writing final theses at Prešov University provided by the document STN ISO 214 Abstrakty (referáty ...
doi:10.5281/zenodo.322932
fatcat:7gjb3kpvs5haphegjkja5chvnq
A generic model to handle complexity in collaborative networks
2009
PICMET '09 - 2009 Portland International Conference on Management of Engineering & Technology
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Even so, alliances, networks and clusters also enhance competitiveness by accelerating the learning processes involved. ...
, learning-by-using, etc. is used as experimental grounds. ...
Such insights/ perspectives will be used as a guiding input for the concept paper proposing the establishment of a Center of Excellence for the Philippine electronics industry. ...
doi:10.1109/picmet.2009.5262237
fatcat:qj6qsep2wzckvefpxq7soiy6q4
American pragmatism and democratic faith
2008
ChoiceReviews
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It is a "method. . .by which our beliefs may be determined by nothing human, but by some external permanencyby something upon which our thinking has no effect." ...
They believed that ideas are produced not by individuals, but by groups of individuals-that ideas are social. ...
James posed the question: Since everything which is demanded is by that fact a good, must not the guiding principle for ethical philosophy (since all demands conjointly cannot be satisfied in this poor ...
doi:10.5860/choice.45-6435
fatcat:uy5ovhgwc5ej5exr5g32w4lgku
Should We Impose Quotas? Evaluating the "Disparate Impact" Argument against Legalization of Assisted Suicide
2002
Journal of Law, Medicine & Ethics
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The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
Gov’t Printing Office, 1978) [hereinafter cited as The Belmont Report]; World Health Organization, Proposed International Guide- lines for Biomedical Research Involving Human Subjects (Geneva: CIOMS, 1982 ...
); Medical Research Council of Canada, Guide- lines on Research Involving Human Subjects (Ottawa, Canada: Minister of Supply and Services, 1978)
9. ...
doi:10.1111/j.1748-720x.2002.tb00714.x
pmid:11905270
fatcat:eu2lzddepnhzhdqjpte76iggmm
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