103 search results - page 5 / 21 » Learning vector quantization with local subspace classifier |
105
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NN
1998
Springer
14 years 11 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...
DCC
2007
IEEE
15 years 11 months ago
2007
IEEE
We develop a simulated annealing technique to jointly optimize a distributed quantization structure meant to maximize the asymptotic error exponent of a downstream classifier or d...
IDEAL
2005
Springer
15 years 5 months ago
2005
Springer
Novelty detection involves identifying novel patterns. They are not usually available during training. Even if they are, the data quantity imbalance leads to a low classification ...
118
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JMLR
2006
14 years 11 months ago
2006
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...
ICML
2007
IEEE
16 years 11 days ago
2007
IEEE
We propose a local, generative model for similarity-based classification. The method is applicable to the case that only pairwise similarities between samples are available. The c...