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Active learning via query synthesis and nearest neighbour search
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“Pool-based sampling strategies are very time-consuming since they require the evaluation and ranking of all the instances of unlabelled data in order to select the top N samples for model training [38].”
From Ten Years of Active Learning Techniques and Object Detection: A Systematic Review (2023) · cites this paper as [38]
Citations
Cites
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Cited by
Sorted by citations
Ten Years of Active Learning Techniques and Object Detection: A Systematic Review
Garcia, D., Carias, J., Adão, T., Jesus, R., Cunha, A., & Magalhães, L. G. (2023) · Applied Sciences · doi:10.3390/app131910667 · Cited by 17
Metadata
- Authors
- Wang, L., Hu, X., Yuan, B., & Lu, J.
- Affiliations
- Nanjing University of Science and Technology (CN)
- The University of Queensland (AU)
- Tsinghua Shenzhen International Graduate School (CN)
- Corresponding author
- Hu, Xuelei
- Venue
- Neurocomputing
- Publisher
- Elsevier BV
- Published
- 2015-01
- Volume
- 147
- Pages
- 426-434
- ISSN
- 0925-2312 (ISSN-L)
- OpenAlex
- W2010005543
- Cited by
- 59
- References
- 3
- Citations by year
- 2025: 7 · 2024: 5 · 2023: 10 · 2022: 7 · 2021: 7 · 2020: 7 · 2019: 6 · 2018: 6 · 2017: 2 · 2016: 1 · 2015: 1
- FWCI
- 1.33
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neurocomputing (publishedVersion)
- Funders
- National Natural Science Foundation of China (NSFC) (61233011, 91220301)
- Jiangsu Natural Science Foundation (BK20131351)
- Ministry of Human Resources of China via the Science and Technology Activities
- Jiangsu Key Laboratory of Image and Video Understanding for Social Safety (Nanjing University of Science and Technology) (JSKL201304, 30920140122007)
- Programme of Introducing Talents of Discipline to Universities (B13022)
- Fundamental Research Funds for the Central Universities (30920130122004, 30920130122005, 30920130121006)
- China Scholarship Council (201206840034)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning and Algorithms
- Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning and Data Classification
- Physical Sciences › Computer Science › Artificial Intelligence › Domain Adaptation and Few-Shot Learning
- Keywords
- active learning (machine learning), query synthesis, nearest neighbor search, decision boundaries, kernel methods, uncertainty sampling, query efficiency
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- Wang, L., Hu, X., Yuan, B., & Lu, J. (2015). Active learning via query synthesis and nearest neighbour search. Neurocomputing. https://doi.org/10.1016/j.neucom.2014.06.042