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» A Note on Learning Vector Quantization
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ICASSP
2009
IEEE
15 years 4 months ago
Voronoi cell shaping for feature selection with discrete HMMs
In this paper, we introduce a novel vector quantization (VQ) scheme for distributing the quantization error equally among the quantized dimensions. Afterwards, the proposed VQ sch...
Joachim Schenk, Gerhard Rigoll
DAGM
2005
Springer
15 years 3 months ago
Rapid Online Learning of Objects in a Biologically Motivated Recognition Architecture
We present an approach for the supervised online learning of object representations based on a biologically motivated architecture of visual processing. We use the output of a rece...
Stephan Kirstein, Heiko Wersing, Edgar Körner
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
15 years 4 months ago
Regression Learning Vector Quantization
— Learning Vector Quantization (LVQ) is a popular class of nearest prototype classifiers for multiclass classification. Learning algorithms from this family are widely used becau...
Mihajlo Grbovic, Slobodan Vucetic
KES
2007
Springer
15 years 3 months ago
Handwritten Greek Character Recognition with Learning Vector Quantization
Abstract. This paper presents a handwritten Greek character recognizer. The recognizer is composed of two modules: the first one is a feature extractor, the second one, the classi...
Francesco Camastra
IJON
2008
101views more  IJON 2008»
14 years 9 months ago
Learning dynamics and robustness of vector quantization and neural gas
Various alternatives have been developed to improve the Winner-Takes-All (WTA) mechanism in vector quantization, including the Neural Gas (NG). However, the behavior of these algo...
Aree Witoelar, Michael Biehl, Anarta Ghosh, Barbar...