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

• URL: http://arxiv.org/abs/2106.05233v1
• Date: Mon, 31 May 2021 16:08:00 GMT
• Title: Analysis of convolutional neural network image classifiers in a hierarchical max-pooling model with additional local pooling
• Authors: Benjamin Walter
• Abstract summary: Image classification is considered, and a hierarchical max-pooling model with additional local pooling is introduced. The additional local pooling enables the hierachical model to combine parts of the image which have a variable relative distance towards each other.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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