21 search results - page 2 / 5 » Divergence-based classification in learning vector quantizat... |
EAAI
2008
13 years 7 months ago
2008
Facial expression recognition has potential applications in different aspects of day-to-day life not yet realized due to absence of effective expression recognition techniques. Th...
PR
2008
13 years 7 months ago
2008
In this paper, we extend the conventional vector quantization by incorporating a vigilance parameter, which steers the tradeoff between plasticity and stability during incremental...
NN
2002
Springer
13 years 7 months ago
2002
Springer
We propose a new scheme for enlarging generalized learning vector quantization (GLVQ) with weighting factors for the input dimensions. The factors allow an appropriate scaling of ...
NN
2006
Springer
13 years 7 months ago
2006
Springer
Learning vector quantization (LVQ) constitutes a powerful and intuitive method for adaptive nearest prototype classification. However, original LVQ has been introduced based on he...
NIPS
1996
13 years 8 months ago
1996
: Neural networks are competitive tools for classification problems. In this context, a hint is any piece of prior side information about the classification. Common examples are mo...