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CORR
2007
Springer
59views Education» more  CORR 2007»
13 years 5 months ago
On the use of self-organizing maps to accelerate vector quantization
Self-organizing maps (SOM) are widely used for their topology preservation property: neighboring input vectors are quantiÿed (or classiÿed) either on the same location or on nei...
Eric de Bodt, Marie Cottrell, Patrick Letré...
PR
2008
123views more  PR 2008»
13 years 5 months ago
Extensions of vector quantization for incremental clustering
In this paper, we extend the conventional vector quantization by incorporating a vigilance parameter, which steers the tradeoff between plasticity and stability during incremental...
Edwin Lughofer
DAGSTUHL
2009
13 years 6 months ago
Statistical Mechanics of On-line Learning
We introduce and discuss the application of statistical physics concepts in the context of on-line machine learning processes. The consideration of typical properties of very large...
Michael Biehl, Nestor Caticha, Peter Riegler
ICML
2003
IEEE
14 years 6 months ago
Incorporating Diversity in Active Learning with Support Vector Machines
In many real world applications, active selection of training examples can significantly reduce the number of labelled training examples to learn a classification function. Differ...
Klaus Brinker
PRL
2006
96views more  PRL 2006»
13 years 5 months ago
Fast codebook search algorithms based on tree-structured vector quantization
Tree-Structured Vector Quantization (TSVQ) is a highly efficient technique for locating an appropriate codeword for each input vector. The algorithm does not guarantee that the sel...
Chin-Chen Chang, Yu-Chiang Li, Jun-Bin Yeh