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Convolutional Deep Belief Networks
In computer science, Convolutional Deep Belief Network (CDBN) is a type of deep artificial neural network that is composed of multiple layers of…
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Artificial neural network
Computer science
Convolutional neural network
Deep learning
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Robotic simulation of human brain using convolutional deep belief networks
P. S. J. Kumar
,
Yanmin Yuan
,
Yang Yung
,
Mingmin Pan
,
Wenli Hu
2018
Corpus ID: 69834147
Collective endeavours in the fields of computational neuroscience, software engineering, and biology permitted outlining…
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2018
2018
Singer Recognition Based on Convolutional Deep Belief Networks
Yang Li
,
C. Li
IOP Conference Series: Materials Science and…
2018
Corpus ID: 69545521
Singer recognition is an important branch of music retrieval and classification. This paper focuses on the application of…
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2017
2017
Spiking Convolutional Deep Belief Networks
Jacques Kaiser
,
David Zimmerer
,
J. C. V. Tieck
,
Stefan Ulbrich
,
A. Rönnau
,
R. Dillmann
International Conference on Artificial Neural…
2017
Corpus ID: 32367968
Understanding visual input as perceived by humans is a challenging task for machines. Today, most successful methods work by…
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2016
2016
Keyword Spotting with Convolutional Deep Belief Networks and Dynamic Time Warping
Baptiste Wicht
,
Andreas Fischer
,
J. Hennebert
International Conference on Artificial Neural…
2016
Corpus ID: 28710850
To spot keywords on handwritten documents, we present a hybrid keyword spotting system, based on features extracted with…
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2016
2016
Efficient deep learning of 3D structural brain MRIs for manifold learning and lesion segmentation with application to multiple sclerosis
T. Brosch
2016
Corpus ID: 58419249
Deep learning methods have shown great success in many research areas such as object recognition, speech recognition, and natural…
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2014
2014
Convolutional Data : Towards Deep Audio Learning from Big Data ( Abstract )
Hazrat Ali
,
S. Tran
,
A. Garcez
,
Tillman Weyde
2014
Corpus ID: 18553815
Deep Learning has become a popular approach for unsupervised feature learning [3]. It is now used extensively for object, face…
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2014
2014
Unsupervised feature learning on monaural DOA estimation using convolutional deep belief networks
Yan Chen
,
Mengyao Zhu
,
N. Epain
,
C. Jin
2014
Corpus ID: 36111610
In recent years, deep learning approaches have gained significant interest as a way of building hierarchical representations from…
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2011
2011
Report on Challenge for summer internship at DiCarlo Lab , MIT : Convolutional Deep Belief Networks in Python
M. Solgi
2011
Corpus ID: 17005067
An object oriented design was employed for the project. This significantly improves the readability and scalability of the code…
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2010
2010
Learning and Invariance in a Family of Hierarchical Kernels
Andre Wibisono
,
J. Bouvrie
,
L. Rosasco
,
T. Poggio
2010
Corpus ID: 6685492
Understanding invariance and discrimination properties of hierarchical models is arguably the key to understanding how and why…
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2010
2010
Applying Deep Belief Networks to the Game of Go a Capstone Experience Manuscript Presented By
P. Krafft
2010
Corpus ID: 7454033
Title: Applying Deep Belief Networks in the Game of Go Author: Peter Krafft, Mathematics and Statistics CE Type: Independent…
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