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Convolutional neural network
Known as:
Max norm constraint
, Convolutional neural networks
, ConvNet
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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 function
AlphaGo
Apache Spark
Artificial neural network
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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
Xiaofeng Li
,
Yanwei Wang
,
Gang Liu
IEEE Access
2020
Corpus ID: 209900694
When using traditional algorithms to mine the association of hiding information in medical pathological data, there are some…
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2018
2018
Video Dynamics Detection Using Deep Neural Networks
Keji Zheng
,
W. Yan
,
P. Nand
IEEE Transactions on Emerging Topics in…
2018
Corpus ID: 44113338
In recent years, deep neural networks (DNNs) have achieved a remarkable progression in solving many complex problems. DNNs are…
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Highly Cited
2015
Highly Cited
2015
Time-series modeling with undecimated fully convolutional neural networks
Roni Mittelman
arXiv.org
2015
Corpus ID: 10371485
We present a new convolutional neural network-based time-series model. Typical convolutional neural network (CNN) architectures…
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Highly Cited
2014
Highly Cited
2014
Visual word spatial arrangement for image retrieval and classification
O. A. B. Penatti
,
Fernanda B. Silva
,
Eduardo Valle
,
V. Gouet-Brunet
,
R. Torres
Pattern Recognition
2014
Corpus ID: 200296
Highly Cited
2014
Highly Cited
2014
Metric Learning Based Structural Appearance Model for Robust Visual Tracking
Yuwei Wu
,
Bo Ma
,
Min Yang
,
Jian Zhang
,
Yunde Jia
IEEE transactions on circuits and systems for…
2014
Corpus ID: 3431891
Appearance modeling is a key issue for the success of a visual tracker. Sparse representation based appearance modeling has…
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2013
2013
A new phase-based feature representation for robust speech recognition
Erfan Loweimi
,
S. Ahadi
,
Thomas Drugman
IEEE International Conference on Acoustics…
2013
Corpus ID: 156692
The aim of this paper is to introduce a novel phase-based feature representation for robust speech recognition. This method…
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2011
2011
A Refined Performance Characterization of Longest-Queue-First Policy in Wireless Networks
Bo Li
,
Cem Boyaci
,
Ye Xia
IEEE/ACM Transactions on Networking
2011
Corpus ID: 1810370
One of the major challenges in wireless networking is how to optimize the link scheduling decisions under interference…
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2001
2001
Medical image segmentation using a contextual-constraint-based Hopfield neural cube
Chuan-Yu Chang
,
P. Chung
Image and Vision Computing
2001
Corpus ID: 46317650
2000
2000
A Fast Hough Transform for the Parametrisation of Straight Lines using Fourier Methods
C. G. Ho
,
R. Young
,
C. Bradfield
,
C. Chatwin
Real-time imaging
2000
Corpus ID: 18368693
The Hough transform is a useful technique in the detection of straight lines and curves in an image. Due to the mathematical…
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Highly Cited
1995
Highly Cited
1995
Classifier and shift-invariant automatic target recognition neural networks
D. Casasent
,
L. Neiberg
Neural Networks
1995
Corpus ID: 8513572
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