99 search results - page 9 / 20 » Learning vector quantization: The dynamics of winner-takes-a... |
CIARP
2006
Springer
14 years 11 months ago
2006
Springer
The Neural Gas (NG) is a Vector Quantization technique where a set of prototypes self organize to represent the topology structure of the data. The learning algorithm of the Neural...
ICIP
2005
IEEE
15 years 11 months ago
2005
IEEE
An efficient algorithm for compression of dynamic time-consistent 3D meshes is presented. Such a sequence of meshes contains a large degree of temporal statistical dependencies tha...
ICMLA
2003
14 years 11 months ago
2003
— This paper shows that the distributed representation found in Learning Vector Quantization (LVQ) enables reinforcement learning methods to cope with a large decision search spa...
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
In this paper we propose and evaluate an algorithm that learns a similarity measure for comparing never seen objects. The measure is learned from pairs of training images labeled ...
ICPR
2002
IEEE
15 years 10 months ago
2002
IEEE
In this paper the effectiveness of a corrective learning algorithm MIL (Mirror Image Learning) [1], [2] is comparatively studied with that of GLVQ (Generalized Learning Vector Qua...