Convolutional neural networks analyzed via convolutional sparse coding

PapyanVardan; RomanoYaniv; EladMichael

ScienceGate Book Chapters

JOURNAL ARTICLE

Convolutional neural networks analyzed via convolutional sparse coding

PapyanVardan RomanoYaniv EladMichael

Year: 2017 Journal: Journal of Machine Learning Research Publisher: The MIT Press

Get Full-Text PDF Get Analytical Report

Abstract

Convolutional neural networks (CNN) have led to many state-of-the-art results spanning through various fields. However, a clear and profound theoretical understanding of the forward pass, the core ...

Keywords:

Convolutional neural network Convolutional code Computer science Neural coding Artificial intelligence Coding (social sciences) Pattern recognition (psychology) Algorithm Decoding methods Mathematics Statistics

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.30

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Convolutional neural networks analyzed via convolutional sparse coding

Abstract

Metrics

Citation History

Topics

Related Documents

Sparse Convolutional Neural Networks

Super Sparse Convolutional Neural Networks

Hierarchical Sparse Coding of Objects in Deep Convolutional Neural Networks

Single image super-resolution based on adaptive convolutional sparse coding and convolutional neural networks

Sound Events Recognition and Retrieval Using Multi-Convolutional-Channel Sparse Coding Convolutional Neural Networks