Exploring generative perspective of convolutional neural networks by learning random field models

STATISTICS AND ITS INTERFACE, pp. 515-529, 2018.

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Abstract:

This paper studies the convolutional neural network (ConvNet or CNN) from a statistical modeling perspective. The ConvNet has proven to be a very successful discriminative learning machine. In this paper, we explore the generative perspective of the ConvNet. We propose to learn Markov random field models called FRAME (Filters, Random fiel...More

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