间接免疫荧光图像识别的二次循环有限脉冲响应MLP

Cristinel Codrescu
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引用次数: 10

摘要

I3A2014竞赛的参与者必须设计并实现一个模式识别系统,该系统能够将属于HEp-2图像的细胞分类为六个模式类之一。我们提出了QR-FIRMLP结构,这是有限脉冲响应多层感知器(FIRMLP)的扩展。FIRMLP是一个多层感知器,其中静态权重已被有限脉冲响应滤波器所取代。我们扩展了这个结构,用二次元层替换了一些s型层,并向FIR神经元添加了循环连接。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quadratic Recurrent Finite Impulse Response MLP for Indirect Immunofluorescence Image Recognition
The I3A2014 contest participants had to design and implement a pattern recognition system able to classify the cells belonging to HEp-2 images in one of six pattern classes. We propose the QR-FIRMLP architecture, an extension of the finite impulse response multilayer perceptron (FIRMLP). The FIRMLP is a multilayer perceptron where the static weights have been replaced by finite impulse response filters. We have extended this architecture by replacing some sigmoidal layers with quadratic ones and adding recurrent connections to the FIR neurons.
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