We present a family of topology preserving mappings similar to the Self-Organizing Map (SOM) and the Generative Topographic Map (GTM) . These techniques can be considered as a non-linear projection from input or data space to the output or latent space (usually 2D or 3D), plus a clustering technique, that updates the centres. A common frame based on the GTM structure can be used with different ...

This paper proposes a method of implementation of automatic contour line extraction from scanned digital topographic maps. First, color image segmentation is executed to recognize the features on digital topographic maps, second, morphological and filtering operations are presented to eliminate all unwanted information from digital topographic map except from contour lines. Then, resolving the ...

Several learning algorithms for topographic map formation have been introduced that adopt overlapping activa-tion regions, rather than Voronoiregions, usually in the form of kernel functions. We review and introduce a numberof fixed point rules for training homogeneous, heteroscedastic but otherwise radially-symmetric Gaussian kernel-based topographic maps, or kernel topographic...

Object representation in the inferior temporal cortex (IT), an area of visual cortex critical for object recognition in the primate, exhibits two prominent properties: (1) objects are represented by the combined activity of columnar clusters of neurons, with each cluster representing component features or parts of objects, and (2) closely related features are continuously represented along the ...

The topographic map plays a very important role in economic construction. In the process of drawing maps, different symbols represent ground objects, but representing complex objects are often complicated and difficult to create. Moreover, creation can seriously affect efficiency production. Therefore, this paper proposes an automatic derivation method for map. data used new geographic entity u...