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Convolutional neural network

Known as: Max norm constraint, Convolutional neural networks, ConvNet 
In machine learning, a convolutional neural network (CNN, or ConvNet) is a type of feed-forward artificial neural network in which the connectivity… 
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Papers overview

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2020
2020
When using traditional algorithms to mine the association of hiding information in medical pathological data, there are some… 
2018
2018
In recent years, deep neural networks (DNNs) have achieved a remarkable progression in solving many complex problems. DNNs are… 
Highly Cited
2015
Highly Cited
2015
We present a new convolutional neural network-based time-series model. Typical convolutional neural network (CNN) architectures… 
Highly Cited
2014
Highly Cited
2014
Appearance modeling is a key issue for the success of a visual tracker. Sparse representation based appearance modeling has… 
2013
2013
The aim of this paper is to introduce a novel phase-based feature representation for robust speech recognition. This method… 
2011
2011
One of the major challenges in wireless networking is how to optimize the link scheduling decisions under interference… 
2000
2000
The Hough transform is a useful technique in the detection of straight lines and curves in an image. Due to the mathematical…