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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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Related topics

Related topics

50 relations
Activation functionAlphaGoApache SparkArtificial neural network

Broader (1)

Computational neuroscience

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
Structured Medical Pathology Data Hiding Information Association Mining Algorithm Based on Optimized Convolutional Neural Network
When using traditional algorithms to mine the association of hiding information in medical pathological data, there are some… 
2020
2020
Wireless Electrocardiograph Monitoring Based on Wavelet Convolutional Neural Network
Recently, cardiovascular diseases (CVD) have drawn high concerns from diversity of disciplines due to acute and fatal… 
Highly Cited
2019
Highly Cited
2019
Second-order convolutional network for crowd counting
Single image crowd counting remains challenging primarily due to various issues, such as large scale variations, perspective and… 
Highly Cited
2018
Highly Cited
2018
Performance Analysis of Hookworm Detection using Deep Convolutional Neural Network
Hookworm is a disease that is caused by an intestinal parasite called roundworm. Owing to poor hygiene in the budding countries… 
2018
2018
Video Dynamics Detection Using Deep Neural Networks
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
Time-series modeling with undecimated fully convolutional neural networks
We present a new convolutional neural network-based time-series model. Typical convolutional neural network (CNN) architectures… 
Highly Cited
2014
Highly Cited
2014
Metric Learning Based Structural Appearance Model for Robust Visual Tracking
Appearance modeling is a key issue for the success of a visual tracker. Sparse representation based appearance modeling has… 
2011
2011
A Refined Performance Characterization of Longest-Queue-First Policy in Wireless Networks
One of the major challenges in wireless networking is how to optimize the link scheduling decisions under interference… 
2001
2001
Medical image segmentation using a contextual-constraint-based Hopfield neural cube
Highly Cited
1995
Highly Cited
1995
Classifier and shift-invariant automatic target recognition neural networks
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