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IJCNN
2006
IEEE
13 years 11 months ago
Dynamic Hyperparameter Scaling Method for LVQ Algorithms
— We propose a new annealing method for the hyperparameters of several recent Learning Vector Quantization algorithms. We first analyze the relationship between values assigned ...
Sambu Seo, Klaus Obermayer
PR
2006
120views more  PR 2006»
13 years 5 months ago
Alternative learning vector quantization
In this paper, we discuss the influence of feature vectors contributions at each learning time t on a sequential-type competitive learning algorithm. We then give a learning rate ...
Kuo-Lung Wu, Miin-Shen Yang
NIPS
1992
13 years 6 months ago
A Note on Learning Vector Quantization
Vector Quantization is useful for data compression. Competitive Learning which minimizes reconstruction error is an appropriate algorithm for vector quantization of unlabelled dat...
Virginia R. de Sa, Dana H. Ballard
ICC
2007
IEEE
126views Communications» more  ICC 2007»
13 years 11 months ago
A New Initial Codebook Algorithm for Learning Vector Quantization
—In this paper, a new sorting initial codebook algorithm for learning vector quantization (LVQ) based upon selforganizing feature maps (SOM) has been proposed. The basic idea is ...
Hongsong Li, Baohua Xu