117 search results - page 1 / 24 » A Note on Learning Vector Quantization |
NIPS
1992
13 years 5 months ago
1992
Vector Quantization is useful for data compression. Competitive Learning which minimizes reconstruction error is an appropriate algorithm for vector quantization of unlabelled dat...
NN
1998
Springer
13 years 4 months ago
1998
Springer
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...
ICONIP
2008
13 years 6 months ago
2008
We present a category learning vector quantization (cLVQ) approach for incremental and life-long learning of multiple visual categories where we focus on approaching the stability-...
DAGM
2008
Springer
13 years 6 months ago
2008
Springer
In this work we propose two novel vector quantization (VQ) designs for discrete HMM-based on-line handwriting recognition of whiteboard notes. Both VQ designs represent the binary ...
WSOM
2009
Springer
13 years 11 months ago
2009
Springer
Vector quantization methods are confronted with a model selection problem, namely the number of prototypical feature representatives to model each class. In this paper we present a...