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Learning vector quantization
Known as:
LVQ
In computer science, learning vector quantization (LVQ), is a prototype-based supervised classification algorithm. LVQ is the supervised counterpart…
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Algorithm
Artificial neural network
Branch predictor
Computer science
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2008
2008
Dual Weight Learning Vector Quantization
Chuanfeng Lv
,
Xing An
,
Zhiwen Liu
,
Qiangfu Zhao
International Conference on the Software Process
2008
Corpus ID: 18226253
A new learning vector quantization (LVQ) approach, so-called dual weight learning vector quantization (DWLVQ), is presented in…
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2006
2006
Application of LVQ to novelty detection using outlier training data
Hyoungjoo Lee
,
Sungzoon Cho
Pattern Recognition Letters
2006
Corpus ID: 8514015
2006
2006
Improving Dynamic Learning Vector Quantization
C. D. Stefano
,
C. D'Elia
,
A. Marcelli
,
A. S. D. Freca
International Conference on Pattern Recognition
2006
Corpus ID: 14665547
We introduce some improvements to the dynamic learning vector quantization algorithm proposed by us for tackling the two major…
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2005
2005
Possibilistic Approach to Kernel-Based Fuzzy c-Means Clustering with Entropy Regularization
Kiyotaka Mizutani
,
S. Miyamoto
Modeling Decisions for Artificial Intelligence
2005
Corpus ID: 13473119
The fuzzy c-means (FCM) is sensitive to noise or outliers because this method has the probabilistic constraint that the…
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2005
2005
A LVQ-based neural network anti-spam email approach
C. Zhan
,
Xianliang Lu
,
Meng-shu Hou
,
Xu Zhou
OPSR
2005
Corpus ID: 14095079
Along with wide application of e-mail nowadays, many spam e-mails flood into people's email inboxes and bring catastrophe to…
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2002
2002
Supervised Neural Gas for Learning Vector Quantization
T. Villmann
,
B. Hammer
2002
Corpus ID: 14900418
In this contribution we combine approaches the generalized leraning ve ctor quantization (GLVQ) with the neighborhood orientented…
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1998
1998
A three-dimensional neural network model for unconstrained handwritten numeral recognition: a new approach
N. Reddy
,
P. Nagabhushan
Pattern Recognition
1998
Corpus ID: 40750810
1997
1997
Vector quantization and density estimation
R. Gray
,
R. Olshen
Proceedings. Compression and Complexity of…
1997
Corpus ID: 14716061
The connection between compression and the estimation of probability distributions has long been known for the case of discrete…
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1994
1994
A fuzzy algorithm for learning vector quantization
N. Karayiannis
,
Pin-I Pai
Proceedings of IEEE International Conference on…
1994
Corpus ID: 120637578
This paper proposes a fuzzy algorithm for learning vector quantization, which can train feature maps to function as pattern…
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1992
1992
A Note on Learning Vector Quantization
V. D. Sa
,
D. Ballard
Neural Information Processing Systems
1992
Corpus ID: 273692
Vector Quantization is useful for data compression. Competitive Learning which minimizes reconstruction error is an appropriate…
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