Home › Entities › academia › Generalizing max pooling via <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si656.svg" display="inline" id="d1e8388"> <mml:mrow> <mml:mo>(</mml:mo> <mml:mi>a</mml:mi> <mml:mo>,</mml:mo> <mml:mi>b</mml:mi> <mml:mo>)</mml:mo> </mml:mrow> </mml:math> -grouping functions for Convolutional Neural Networks

Generalizing max pooling via <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si656.svg" display="inline" id="d1e8388"> <mml:mrow> <mml:mo>(</mml:mo> <mml:mi>a</mml:mi> <mml:mo>,</mml:mo> <mml:mi>b</mml:mi> <mml:mo>)</mml:mo> </mml:mrow> </mml:math> -grouping functions for Convolutional Neural Networks

Research article (Information Fusion, 2023) · cited 22× · AI/ML
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Generalizing max pooling via ( a , b ) -grouping functions for Convolutional Neural Networks

Summary

Generalizing max pooling via ( a , b ) -grouping functions for Convolutional Neural Networks is a scholarly article<sup id="cite-A2" class="cite-ref" title="Generalizing max pooling via ( a ,[1].

Key Facts

  • Generalizing max pooling via ( a , b ) -grouping functions for Convolutional Neural Networks's instance of is recorded as scholarly article<sup id="cite-C1" class="cite-ref" title="Generalizing max pooling via ( a ,[2].

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Francisco Herrera

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  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Generalizing max pooling via <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si656.svg" display="inline" id="d1e8388"> <mml:mrow> <mml:mo>(</mml:mo> <mml:mi>a</mml:mi> <mml:mo>,</mml:mo> <mml:mi>b</mml:mi> <mml:mo>)</mml:mo> </mml:mrow> </mml:math> -grouping functions for Convolutional Neural Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/generalizing-max-pooling-via-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-altimg-si656-svg-display-inline-id-d1e8
MLA “Generalizing max pooling via <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si656.svg" display="inline" id="d1e8388"> <mml:mrow> <mml:mo>(</mml:mo> <mml:mi>a</mml:mi> <mml:mo>,</mml:mo> <mml:mi>b</mml:mi> <mml:mo>)</mml:mo> </mml:mrow> </mml:math> -grouping functions for Convolutional Neural Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/generalizing-max-pooling-via-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-altimg-si656-svg-display-inline-id-d1e8.
BibTeX @misc{4ortxyz_generalizing-max-pooling-via-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-altimg-si656-svg-display-inline-id-d1e8_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Generalizing max pooling via <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si656.svg" display="inline" id="d1e8388"> <mml:mrow> <mml:mo>(</mml:mo> <mml:mi>a</mml:mi> <mml:mo>,</mml:mo> <mml:mi>b</mml:mi> <mml:mo>)</mml:mo> </mml:mrow> </mml:math> -grouping functions for Convolutional Neural Networks}}, year = {2026}, url = {https://4ort.xyz/entity/generalizing-max-pooling-via-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-altimg-si656-svg-display-inline-id-d1e8}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Generalizing max pooling via <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si656.svg" display="inline" id="d1e8388"> <mml:mrow> <mml:mo>(</mml:mo> <mml:mi>a</mml:mi> <mml:mo>,</mml:mo> <mml:mi>b</mml:mi> <mml:mo>)</mml:mo> </mml:mrow> </mml:math> -grouping functions for Convolutional Neural Networks — https://4ort.xyz/entity/generalizing-max-pooling-via-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-altimg-si656-svg-display-inline-id-d1e8 (retrieved 2026-05-24)

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