Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 227,738,005 papers from all fields of science
Search
Sign In
Create Free Account
Winner-take-all (computing)
Winner-take-all is a computational principle applied in computational models of neural networks by which neurons in a layer compete with each other…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
10 relations
Artificial neural network
CMOS
Competitive learning
Leabra
Expand
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Unsupervised Learning Using Phase-Change Synapses and Complementary Patterns
Severin Sidler
,
A. Pantazi
,
Stanisław Woźniak
,
Y. Leblebici
,
E. Eleftheriou
International Conference on Artificial Neural…
2017
Corpus ID: 27126176
Neuromorphic systems using memristive devices provide a brain-inspired alternative to the classical von Neumann processor…
Expand
2010
2010
Memristor based STDP learning network for position detection
Idongesit E. Ebong
,
P. Mazumder
International Congress of Mathematicans
2010
Corpus ID: 36287344
Most neural networks have a basic competitive learning rule on top of a more involved processing algorithm. This work highlights…
Expand
2007
2007
Discrete Entropy and Relative Entropy Study on Nonlinear Clustering of Underwater and Arial Images
Z. Ye
,
H. Mohamadian
,
Yongmao Ye
International Conference on Computability and…
2007
Corpus ID: 15355868
For underwater and aerial images, the dispersing in atmosphere and the fluctuation in current flow are essential factors to…
Expand
2006
2006
Palmprint Recognition Using ICA Based on Winner-Take-All Network and Radial Basis Probabilistic Neural Network
L. Shang
,
De-shuang Huang
,
Jixiang Du
,
Zhi-Kai Huang
International Symposium on Neural Networks
2006
Corpus ID: 206597899
This paper proposes a novel method for recognizing palmprint using the winner-take-all (WTA) network based independent component…
Expand
2003
2003
Fusion techniques for automatic target recognition
Syed A. Rizvi
,
N. Nasrabadi
32nd Applied Imagery Pattern Recognition Workshop…
2003
Corpus ID: 38151984
In this paper, we investigate several fusion techniques for designing a composite classifier to improve the performance…
Expand
1999
1999
High speed and high resolution WTA circuit
S. Vlassis
,
S. Siskos
ISCAS'99. Proceedings of the IEEE International…
1999
Corpus ID: 26420053
The winner-takes-all (WTA) circuits are very common elements in the VLSI implementation of neural networks, fuzzy systems and…
Expand
1999
1999
Synchronization via multiplex pulse trains
H. Torikai
,
Toshimichi Saito
,
Wolfgang Schwarz
1999
Corpus ID: 15782525
The master-slave synchronization of a complex chaotic system using multiplex pulse trains is considered. Each master outputs a…
Expand
1997
1997
CMOS winner-take-all circuits: a detailed comparison
Sezgin Gunay
,
Edgar Shchez-Sinencio
Proceedings of IEEE International Symposium on…
1997
Corpus ID: 61110689
Winner-Take-All (WTA) structures are widely used in hardware implementations of neural networks and dedicated fuzzy processors…
Expand
1996
1996
Asynchronous sampling of 2D arrays using winner-takes-all arbitration
Z. Kalayjian
,
J. Waskiewicz
,
D. Yochelson
,
A. Andreou
IEEE International Symposium on Circuits and…
1996
Corpus ID: 62313979
We describe a novel scheme for asynchronous communication of information out of two dimensional processing arrays. Our…
Expand
Highly Cited
1993
Highly Cited
1993
Regulating innovative activity: The role of a public firm
Flavio Delbono
,
V. Denicoló
1993
Corpus ID: 152433158
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE