arXiv Open Access 2021

Analysis of convolutional neural network image classifiers in a hierarchical max-pooling model with additional local pooling

Benjamin Walter

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Abstrak

Image classification is considered, and a hierarchical max-pooling model with additional local pooling is introduced. Here the additional local pooling enables the hierachical model to combine parts of the image which have a variable relative distance towards each other. Various convolutional neural network image classifiers are introduced and compared in view of their rate of convergence. The finite sample size performance of the estimates is analyzed by applying them to simulated and real data.

Topik & Kata Kunci

cs.CV cs.LG stat.ML

Penulis (1)

Benjamin Walter

Format Sitasi

APA MLA BibTeX

Walter, B. (2021). Analysis of convolutional neural network image classifiers in a hierarchical max-pooling model with additional local pooling. https://arxiv.org/abs/2106.05233

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Informasi Jurnal

Tahun Terbit: 2021
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓