99 search results - page 9 / 20 » Learning vector quantization: The dynamics of winner-takes-a... |
CIARP
2006
Springer
13 years 9 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
14 years 9 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
13 years 9 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
14 years 9 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
14 years 8 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...