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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… 
Highly Cited
2019
Highly Cited
2019
Single image crowd counting remains challenging primarily due to various issues, such as large scale variations, perspective and… 
2017
2017
Human pose analysis is presently dominated by deep convolutional networks trained with extensive manual annotations of joint… 
Highly Cited
2015
Highly Cited
2015
We present a new convolutional neural network-based time-series model. Typical convolutional neural network (CNN) architectures… 
2015
2015
Our aim is to provide a pixel-level object instance labeling of a monocular image. We build on recent work [27] that trained a… 
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… 
2011
2011
One of the major challenges in wireless networking is how to optimize the link scheduling decisions under interference…