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Aug 22, 2022 · Thus, hashing methods for non-stationary environments are developed to learn from newly arrived data and adapt to new data environments for ...
In this paper, goals of ideal hashing methods for non-stationary environments are proposed. State-of-the-art hashing methods for non-stationary environments are ...
Aug 4, 2022 · Thus, hashing methods for non-stationary environments are developed to learn from newly arrived data and adapt to new data environments for ...
Recent development of hashing-based image retrieval in non-stationary environments. https://doi.org/10.1007/s13042-022-01630-7. Journal: International Journal ...
With the continuous development of mobile devices, the number of images on the Internet increases explosively. Hashing methods solve retrieval problems with ...
Jan 2, 2023 · Several dynamic hashing methods have been proposed for image retrieval tasks in non-stationary environments. However, concept drift problems ...
Missing: development | Show results with:development
Recent development of hashing-based image retrieval in non-stationary environments · Computer Science. International Journal of Machine Learning and… · 2022.
Abstract—Images are uploaded to the Internet over time which makes concept drifting and distribution change in semantic classes unavoidable. Current hashing ...
Hashing is a key technique to allow efficient image retrieval, so incremental hashing technique emerges in recent years for image retrieval in non-stationary.
Dec 31, 2023 · Conclusion. This paper has researched and developed an image retrieval system based on key ideas that combine deep visual features and hashing ...