تقرير
Maximal function pooling with applications
| العنوان: | Maximal function pooling with applications |
|---|---|
| المؤلفون: | Czaja, Wojciech, Li, Weilin, Li, Yiran, Pekala, Mike |
| سنة النشر: | 2021 |
| المجموعة: | Computer Science Mathematics |
| مصطلحات موضوعية: | Computer Science - Computer Vision and Pattern Recognition, Computer Science - Information Theory |
| الوصف: | Inspired by the Hardy-Littlewood maximal function, we propose a novel pooling strategy which is called maxfun pooling. It is presented both as a viable alternative to some of the most popular pooling functions, such as max pooling and average pooling, and as a way of interpolating between these two algorithms. We demonstrate the features of maxfun pooling with two applications: first in the context of convolutional sparse coding, and then for image classification. Comment: 18 pages, 1 figure, to appear in Excursions in Harmonic Analysis, Volume 6 |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2103.01292 |
| رقم الأكسشن: | edsarx.2103.01292 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |