117 search results - page 8 / 24 » A Note on Learning Vector Quantization |
105
click to vote
DAGSTUHL
2009
14 years 10 months ago
2009
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...
HAIS
2010
Springer
15 years 2 months ago
2010
Springer
The recognition of manual actions, i.e., hand movements, hand postures and gestures, plays an important role in human-computer interaction, while belonging to a category of particu...
NN
2006
Springer
14 years 9 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...
AUSAI
2008
Springer
14 years 11 months ago
2008
Springer
In recent years, there has been a cross-fertilization of ideas between computational neuroscience models of the operation of the neocortex and artificial intelligence models of mac...
ICASSP
2009
IEEE
15 years 1 months ago
2009
IEEE
Using discrete Hidden-Markov-Models (HMMs) for recognition requires the quantization of the continuous feature vectors. In handwritten whiteboard note recognition it turns out tha...