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Learning Neural Textual Representations for Citation Recommendation

Binh Thanh Kieu, Inigo Jauregi Unanue, Son Bao Pham, Hieu Xuan Phan, Massimo Piccardi
2021 2020 25th International Conference on Pattern Recognition (ICPR)  
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]

Chaoyun Zhang
2020 arXiv   pre-print
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]

Yu Huang, Yue Chen
2020 arXiv   pre-print
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

Yucheng Chen, Yingli Tian, Mingyi He
2020 Computer Vision and Image Understanding  
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

Olivier Habimana, Yuhua Li, Ruixuan Li, Xiwu Gu, Ge Yu
2019 Science China Information Sciences  
, 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]

Guangshuai Gao, Junyu Gao, Qingjie Liu, Qi Wang, Yunhong Wang
2020 arXiv   pre-print
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]

Lena Maier-Hein, Matthias Eisenmann, Duygu Sarikaya, Keno März, Toby Collins, Anand Malpani, Johannes Fallert, Hubertus Feussner, Stamatia Giannarou, Pietro Mascagni, Hirenkumar Nakawala, Adrian Park (+38 others)
2021 arXiv   pre-print
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

Li Liu, Wanli Ouyang, Xiaogang Wang, Paul Fieguth, Jie Chen, Xinwang Liu, Matti Pietikäinen
2019 International Journal of Computer Vision  
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]

Jérôme Rony, Soufiane Belharbi, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2022 arXiv   pre-print
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

B. Chandrasekaran
1986 IEEE Expert  
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

Tiancheng Zhi
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

Domagała-Zysk Ewa
2017 Zenodo  
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

Maike Scherrer-Rathje, Jens Arnoscht, Peter Egri, Eric Braun, Balazs C Csaji, Gunther Schuh
2009 PICMET '09 - 2009 Portland International Conference on Management of Engineering & Technology  
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  
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

Ronald A. Lindsay
2002 Journal of Law, Medicine & Ethics  
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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