Efficient implementation of a generalized convolutional neural networks based on weighted euclidean distance

By Keivan Nalaie, Kamaledin Ghiasi-Shirazi, Modhammad-R. Akbarzadeh-T.. 2017

15 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Neurology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Cynthia Rudin
2. Chaofan CHEN
3. Chaofan Tao
4. Alina Jade Barnett
5. Jonathan Su
6. Oscar Li
7. Peter Hase
8. Eoin M. Kenny

In Neurology

1. Alina Jade Barnett
2. Cynthia Rudin

Citations in the corpus

• This looks like that: deep learning for interpretable image recognition (2018, methodology): “Our work uses generalized convolution [8, 29] by including a prototype layer that computes squared L(2) distance instead of conventional inner product.”
• This Looks Like That: Deep Learning for Interpretable Image Recognition (2018, methodology): “We implement the squared L(2) distance computation using the conventional inner product convolution, as described in [22].”