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Generalizing max pooling via (𝑎, 𝑏)-grouping functions for Convolutional Neural Networks
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$2 DOI $a 10.1016/j.inffus.2023.101893 024 7-
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$2 CC $a 001056634900001 035 $a biblio/1075225 $2 CREPC2 040 $a STU $b slo 041 0-
$a eng $b eng 100 1-
$7 stu_us_auth*0111735 $a Rodriguez-Martinez, Iosu $4 aut $9 25 245 10
$a Generalizing max pooling via (𝑎, 𝑏)-grouping functions for Convolutional Neural Networks 500 $a A+ 650 04
$7 stu_us_auth*0026085 $a convolutional neural networks 650 04
$7 stu_us_auth*stus34832 $a grouping functions 650 04
$7 stu_us_auth*0111739 $a Pooling functions 650 04
$7 stu_us_auth*0111741 $a Image classification 700 1-
$7 stu_us_auth*0104573 $a Asmus, Tiago da Cruz $4 aut $9 10 700 1-
$7 stu_us_auth*stu81870 $a Dimuro, Gracaliz Pereira $4 aut $9 5 700 1-
$7 stu_us_auth*stu83322 $a Herrera, Francisco $4 aut $9 10 700 1-
$7 stu_us_auth*stu110075 $a Takáč, Zdenko, $d 1975- $u 066000 $r Z1 $4 aut $9 25 $U MTF Materiálovotechnologická fakulta $T MTF Ústav aplikovanej informatiky, automatizácie a mechatroniky $X 43247 $U M6000 $Y 86 700 1-
$7 stu_us_auth*stu73701 $a Bustince, Humberto $4 aut $9 25 773 0-
$w stu_us_cat*0103044 $t Information Fusion $x 1566-2535 $7 nnas $g Vol. 99, (2023), art. no. 101893, s. 1-11 856 4-
$u https://www.sciencedirect.com/science/article/pii/S1566253523002099
Number of the records: 1