Works (3)

Updated: June 7th, 2023 12:24

2021 article

Local Clustering with Mean Teacher for Semi-supervised learning

2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), pp. 6243–6250.

By: Z. Chen n, B. Dutton n, B. Ramachandra n, T. Wu n & R. Vatsavai n

TL;DR: This work proposes a simple yet effective method called Local Clustering (LC) to mitigate the effect of confirmation bias in the Mean Teacher model and demonstrates on semi-supervised benchmark datasets SVHN and CIFAR-10 that adding the LC loss to MT yields significant improvements compared to MT and performance comparable to the state of the art in semi- supervised learning. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 30, 2021

2017 conference paper

Hierarchical change detection framework for biomass monitoring

2017 ieee international geoscience and remote sensing symposium (igarss), 620–623.

By: Z. Chen n, B. Ramachandra n & R. Vatsavai n

TL;DR: A nearest neighbor based hierarchical change detection methodology for analyzing multi-temporal remote sensing imagery and shows that K-Means over-detects changes in comparison to the proposed method. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

2016 conference paper

Scalable nearest neighbor based hierarchical change detection framework for crop monitoring

2016 IEEE International Conference on Big Data (Big Data), 1309–1314.

By: Z. Chen n, R. Vatsavai n, B. Ramachandra n, Q. Zhang n, N. Singh* & S. Sukumar*

UN Sustainable Development Goal Categories
13. Climate Action (OpenAlex)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

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