Replacing pooling functions in Convolutional Neural Networks by linear combinations of increasing functions
Summary
Replacing pooling functions in Convolutional Neural Networks by linear combinations of increasing functions is a scholarly article[1].
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Replacing pooling functions in Convolutional Neural Networks by linear combinations of increasing functions's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Replacing pooling functions in Convolutional Neural Networks by linear combinations of increasing functions. Retrieved May 24, 2026, from https://4ort.xyz/entity/replacing-pooling-functions-in-convolutional-neural-networks-by-linear-combinations-of-increasing-functions
MLA“Replacing pooling functions in Convolutional Neural Networks by linear combinations of increasing functions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/replacing-pooling-functions-in-convolutional-neural-networks-by-linear-combinations-of-increasing-functions.
BibTeX@misc{4ortxyz_replacing-pooling-functions-in-convolutional-neural-networks-by-linear-combinations-of-increasing-functions_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Replacing pooling functions in Convolutional Neural Networks by linear combinations of increasing functions}}, year = {2026}, url = {https://4ort.xyz/entity/replacing-pooling-functions-in-convolutional-neural-networks-by-linear-combinations-of-increasing-functions}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Replacing pooling functions in Convolutional Neural Networks by linear combinations of increasing functions — https://4ort.xyz/entity/replacing-pooling-functions-in-convolutional-neural-networks-by-linear-combinations-of-increasing-functions (retrieved 2026-05-24)
