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Geo-Spatiotemporal Features and Shape-Based Prior Knowledge for Fine-grained Imbalanced Data Classification

Charles A. Kantor, Marta Skreta, Brice Rauby, Léonard Boussioux, Emmanuel Jehanno, Alexandra Luccioni, David Rolnick, Hugues Talbot
2021 arXiv   pre-print
We utilize geo-spatiotemporal data to enrich the picture information and further improve the performance. We also investigate state-of-the-art methods for handling the imbalanced data issue.  ...  Fine-grained classification aims at distinguishing between items with similar global perception and patterns, but that differ by minute details.  ...  Conclusion We have improved the fine-grained classification of taxonomic levels by deep learning, using prior geo-spatiotemporal information.  ... 
arXiv:2103.11285v1 fatcat:7t6yvi53kvbmtitnxfnrxjm3x4

Explored An Effective Methodology for Fine-Grained Snake Recognition [article]

Yong Huang, Aderon Huang, Wei Zhu, Yanming Fang, Jinghua Feng
2022 arXiv   pre-print
Fine-Grained Visual Classification (FGVC) is a longstanding and fundamental problem in computer vision and pattern recognition, and underpins a diverse set of real-world applications.  ...  Extensive experiments demonstrate that our method can effectively improve the performance of fine-grained recognition.  ...  Acknowledgments The authors would like to thank the organizer to offer a pratice and study platform. We also thank Dr Wei Zhu, Dr Yanming Fang for their guidance.  ... 
arXiv:2207.11637v1 fatcat:dw4ddndjbbdnliu5j2hh6kibna

Regionalization of Social Interactions and Points-of-Interest Location Prediction With Geosocial Data

Achilleas Psyllidis, Jie Yang, Alessandro Bozzon
2018 IEEE Access  
Using geo-referenced Twitter records and Foursquare data from Amsterdam, Boston, and Jakarta, we evaluate the potential of machine learning techniques in discovering knowledge about the geography of social  ...  Social media records incorporate geo-tags, timestamps, textual components, user-profile attributes and points-of-interest (POI) features, which respectively address spatial, temporal, topical, demographic  ...  ACKNOWLEDGMENT The authors would like to thank Erik Boertjes for his help in visualizing the multi-dimensional clusters (regions) on the maps of the three case-study cities.  ... 
doi:10.1109/access.2018.2850062 fatcat:hnd7rpbhkzf3xmmcm5sowu4miq

Medical Image Segmentation Using Deep Learning: A Survey [article]

Risheng Wang, Tao Lei, Ruixia Cui, Bingtao Zhang, Hongying Meng, Asoke K. Nandi
2021 arXiv   pre-print
For weakly supervised learning approaches, we investigate literature according to data augmentation, transfer learning, and interactive segmentation, separately.  ...  currently popular literatures according to a multi-level structure from coarse to fine.  ...  CDNN (29-layer FCN) to the liver region for fine-grained liver segmentation.  ... 
arXiv:2009.13120v3 fatcat:ntgbqwkz55axrjum72elbm6rry

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)  
Pose Based Part Priors DAY 4 -Jan 15, 2021 -DAY 4 -Jan 15, 2021 Identifying Missing Children: Face Age-Progression via Deep Feature Aging Median-Shape Representation Learning for Category-Level Object  ...  C2.3 Improved Data Augmentation of DCNN for Pollen Grains Classification DAY 1 -Jan 12, 2021 Live Alessandro Ortis et al.  ... 
doi:10.1109/icpr48806.2021.9412725 fatcat:3vge2tpd2zf7jcv5btcixnaikm

Event Prediction in the Big Data Era: A Systematic Survey [article]

Liang Zhao
2020 arXiv   pre-print
Finally, open problems and future directions for this promising and important domain are elucidated and discussed.  ...  This paper aims to provide a systematic and comprehensive survey of the technologies, applications, and evaluations of event prediction in the big data era.  ...  ., burstiness and change) of future events based on prior knowledge but do not require event label data.  ... 
arXiv:2007.09815v3 fatcat:ypmjm3n3xjbcjbzdlhowdkaona

Video Big Data Analytics in the Cloud: A Reference Architecture, Survey, Opportunities, and Open Research Issues

Aftab Alam, Irfan Ullah, Young-Koo Lee
2020 IEEE Access  
The current technology and market trends demand an efficient framework for video big data analytics.  ...  Finally, we identify and articulate several open research issues and challenges, which have been raised by the deployment of big data technologies in the cloud for video big data analytics.  ...  These low-level features can be keyframes' static features (texture-based, color-based, and shape-based), object features, and/or motion features (trajectory-based, statistics-based, and objects' spatial  ... 
doi:10.1109/access.2020.3017135 fatcat:qc62bhzlrfcwblnvurb5okfjxe

Knowledge Extracted from Copernicus Satellite Data

Dumitru Octavian, Schwarz Gottfried, Eltoft Torbjørn, Kræmer Thomas, Wagner Penelope, Hughes Nick, Arthus David, Fleming Andrew, Koubarakis Manolis, Datcu Mihai
2019 Zenodo  
ExtremeEarth is a European H2020 project; it aims at developing analytics techniques and technologies that combine Copernicus satellite data with information and knowledge extraction, and exploiting them  ...  This approach is also a simple way to generate benchmarking datasets that can be used for testing and validating different algorithms, and for creating additional bigger datasets for large-scale demonstrations  ...  The system integrate data, product, information for user to access. Data management system focus data integration and applications.  ... 
doi:10.5281/zenodo.3941573 fatcat:zzifwgljifck5bpjnboetsftfu

Table of contents

2021 ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
: CROSS-MODAL KNOWLEDGE DISTILLATION FOR FINE-GRAINED ......................................... 4295 ONE-SHOT CLASSIFICATION Jiabao Zhao, Xin Lin, East China Normal University, China; Yifan Yang, Transwarp  ...  Engineering College, Barton Hill, India IVMSP-26.5: CASCADE ATTENTION FUSION FOR FINE-GRAINED IMAGE ................................................ 2215 CAPTIONING BASED ON MULTI-LAYER LSTM Shuang Wang  ... 
doi:10.1109/icassp39728.2021.9414617 fatcat:m5ugnnuk7nacbd6jr6gv2lsfby

2021 Index IEEE Transactions on Intelligent Transportation Systems Vol. 22

2021 IEEE transactions on intelligent transportation systems (Print)  
Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name.  ...  The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  ., +, TITS Sept. 2021 5721-5736 Classification Truck and Trailer Classification With Deep Learning Based Geometric Features.  ... 
doi:10.1109/tits.2021.3139738 fatcat:p2mkawtrsbaepj4zk24xhyl2oa

2021 Index IEEE Transactions on Instrumentation and Measurement Vol. 70

2021 IEEE Transactions on Instrumentation and Measurement  
Article numbers are based on specified topic areas and corresponding codes associated with the publication.  ...  Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, TIM 2021 3507811 HS-KDNet: A Lightweight Network Based on Hierarchical-Split Block and Knowledge Distillation for Fault Diagnosis With Extremely Imbalanced Data.  ... 
doi:10.1109/tim.2022.3156705 fatcat:dmqderzenrcopoyipv3v4vh4ry

Regionalization of Social Interactions and Points-of-Interest Location Prediction With Geosocial Data [article]

Achilleas Psyllidis, Jie Yang, Alessandro Bozzon
2019
Using geo-referenced Twitter records and Foursquare data from Amsterdam, Boston, and Jakarta, we evaluate the potential of machine learning techniques in discovering knowledge about the geography of social  ...  Social media records incorporate geo-tags, timestamps, textual components, user-profile attributes and points-of-interest (POI) features, which respectively address spatial, temporal, topical, demographic  ...  ACKNOWLEDGMENT The authors would like to thank Erik Boertjes for his help in visualizing the multi-dimensional clusters (regions) on the maps of the three case-study cities.  ... 
doi:10.25409/ams.9874121.v1 fatcat:dxln5ba6u5czvlef3kfc6xpxra

Program

2020 2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)  
In this paper, we propose a fine-grained PM2.5 detection method based on crowdsensing technology.  ...  In this study, we aim to explore the presentation of the application menu interface for the Apple Watch in operational tasks and completion of the target experience, through market data induction and classification  ...  The features are extracted from both spatial and spatiotemporal domains by using a 2D CNN. These features can capture different aspects of video frames.  ... 
doi:10.1109/icce-taiwan49838.2020.9258230 fatcat:g25vw7mzvradxna2grlzp6kgiq

Purpose, processes, partnerships, and products: four Ps to advance participatory socio-environmental modeling

Steven Gray, Alexey Voinov, Michael Paolisso, Rebecca Jordan, Todd BenDor, Pierre Bommel, Pierre Glynn, Beatrice Hedelin, Klaus Hubacek, Josh Introne, Nagesh Kolagani, Bethany Laursen (+5 others)
2017 Ecological Applications  
By measuring the outcomes across the various network motifs, we assess the performance of different network structures for governing socialecological systems, which is a critical gap that needs to be addressed  ...  ., social ties), and the relationship between social network structures and governance processes like cooperation and social learning.  ...  Panarchy selectively amplifies and dampens emergent fine-grain behavior of a complex system. That tuning of behavior drives the manifestation of coarse-grain properties such as resilience.  ... 
doi:10.1002/eap.1627 pmid:28922513 fatcat:lh6mglx47bbqbh7lsnwiw2jelq

An approach for pipelining nested collections in scientific workflows

Timothy M. McPhillips, Shawn Bowers
2005 SIGMOD record  
We are grateful to Scott Grafton of the Dartmouth Brain Imaging Center, and to Jens Voeckler, Doug Scheftner, Ewa Deelman, Carl Kesselman, and the entire Virtual Data System team for discussion, guidance  ...  Moreover, he thanks Gianluigi Greco for his recent contribution to the weighted extension, and Alfredo Mazzitelli for his valuable work in designing and implementing the tools for experiments.  ...  Provenance Storage Provenance information can grow to be larger than the data it describes if the data is fine-grained and provenance information rich.  ... 
doi:10.1145/1084805.1084809 fatcat:sgtpcat7vzc3veb4dx2jgskpte
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