Sep 22, 2016 · This work presents the design of a real-time system to model visual objects with the use of self-organising networks.
This work presents the design of a real-time system to model visual objects with the use of self-organising networks. The architecture of the system addresses ...
Sep 22, 2016 · This work presents the design of a real-time system to model visual objects with the use of self-organising networks.
Fast 2D/3D object representation with growing neural gas
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Sep 22, 2016 · Fast 2D/3D object representation with growing neural gas ; Shape Modelling. Clustering · Neural Computing and Applications · 29 (10), pp. 903-919.
This work presents the design of a real-time system to model visual objects with the use of self-organising networks. The architecture of the system ...
Nov 15, 2021 · This paper presents two methods that improve GNG for the visualization of cluster patterns in large-scale and high-dimensional datasets.
Missing: object | Show results with:object
This paper aims to address the ability of self-organizing neural network models to manage real-time applications. Specifically, we introduce a Graphics ...
Fast 2D/3D object representation with growing neural gas. Neural Computing and Applications. 29 (10), pp. 903-919. https://doi.org/10.1007/s00521-016-2579-y.
Growing neural gas (GNG) has many applications, including topology preservation, feature extraction, dynamic adaptation, clustering, and dimensionality ...
In particular the Growing Neural Gas (GNG) is a suitable model because of its flexibility, rapid adaptation and excellent quality of representation. However, ...